Future of learning: LMS or SNS?

November 10th, 2009

Google and Facebook are very different companies. Google has its roots in content – their explicit aim is to organize the worlds information. Facebook, in contrast, is socially driven with the aim of helping “you connect and share with the people in your life”.

The distinction between these two approaches is important for educators to consider, as we face a similar dichotomy in how we approach teaching and learning with technology. Google’s early models viewed information as an entity of inherent worth. As a result, Google made accessing information its top priority, simplifying the disaster of Yahoo search.

But then, in early 2000, something happened: the web became a two-way medium, partly fulfilling Berners-Lee original vision of a read-write web. Google, dominant in the information/data organization space, missed this shift. Sure, they played around with social networking tools (Orkut), but somehow managed to mess up Jaiku, Dodgeball, and JotSpot.

In contrast, Facebook – in error or through brilliant anticipation – based its online model on social connections and information sharing based on those connections. This reality was most apparent for me in 2007 when I started receiving friend requests from family members and friends – people who had shown little interest in the social aspect of the web until that time. Google looked at the web and saw information to organize. Facebook looked at the same web and saw people who needed to be connected.

Facebook’s model is the one that will be successful in the long run.

Google now recognizes this, as reflected in their rapid shift to a social focus of their services: Friend Connect, Latitude, and Social Search. I could add Orkut to the list, but they haven’t made much impact in most countries. Where Google now provides content, it does so through social and contextual means, connecting friends through shared search interests or locations. Friend Connect offers an array of tools for people looking to form and foster connections with others. I’ve been a bit reluctant to use this service extensively because Google has a habit of killing off experiments (Notebook) that aren’t successful.

All is not fun and games in the land of Facebook either. FB is skilled at idiocy, evidenced by Beacon and similar boundary-pushing initiatives that seem to treat people only as entities in need of connection, not as entities with contextual connection interests. Nor am I very comfortable with their privacy contract. Who can trust an organization that can turn this nonsense into a pleasant sounding service?:

Facebook may also collect information about you from other sources, such as newspapers, blogs, instant messaging services, and other users of the Facebook service through the operation of the service (e.g., photo tags) in order to provide you with more useful information and a more personalized experience.

Really? You’ll do that for me? Aw, thanks Facebook. You are more awesome than awesome itself. Google has launched several positive initiatives recently that are helping to restore my trust – Data Liberation and Google Dashboard. Facebook still functions on the assumption that if we are able to connect with others in innovative ways, we’ll accept, even welcome, privacy intrusion.

The second flaw in Facebook is its centralized, closed structure. Data goes in. Not much comes out. Facebook is a central gathering place that is positioning itself as an alternative infrastructure to the web. Chant with me: “All I need is Facebook. Everything else to too distracting and confusing”. In order to compete, Google has opted for a strategy of openness – open protocols, partnerships (Android), and the like. That has hardly put a dent in Facebook’s growth, currently with over 400 million users. Convenience trumps openness (remember the assent of Microsoft?).

As Google continues to morph into a more open and distributed version of Facebook, educators should pause and focus on insights that can be gleaned from the FB/Google experience. There are several of significant importance for the development and future of online learning.

First: Most organizations currently use a learning management system (LMS) such as Moodle or Desire2Learn. These systems are content-centric. Their objective is to organize and manage content, just as Google did in early 2000. Because higher education is particularly enamored with content, an LMS is a critical service. It’s completely the wrong model, however, and this will become increasingly apparent in the next several years.

To survive, LMS vendors will need to transform their offerings on the social network model of Facebook. ELGG is an excellent alternative to an LMS, but most organizations are not yet willing to accept a network-centric tool as an alternative to Moodle (disclaimer or bragging – you choose: I was on ELGG’s initial advisory board that never fully materialized, and used the software for several pilot programs in 2005 with Red River College and with Duke Corporate Education). ELGG is a better model of what learning will/should look like than any of the current contenders in the space. And yes, for you open-source lovers of Drupal and Wordpress, I include those software tools in the “not as good as” category.

Second: The wild card in education today is abundance. We simply have too much information and we can’t make sense of it all. It changes too quickly. Many universities rely on a “design today, use for three years” course design model. It worked great in 1950. 2009 – not so much. Greater adaptivity of content is required. Learning resources should be tagged with a “best before date” so we’re not teaching information that is no longer accurate. LMS’ perpetuate the course model. And that is their greatest flaw.

Third: Complexity is quickly becoming a type of conceptual language that all members of society should be fluent in. When something is complicated, every piece has a place and a right answer exists. Our education model reflects this view – get the experts together, let them tell us what the answers are, then design curriculum to reflect those answers. It’s all knowable. Complexity, on the other hand, recognizes that numerous interacting elements will form and reform to produce patterns that we can’t anticipate in advance. Complicated=jigsaw puzzle. Complexity=weather.

Fourth: Managing abundance and complexity requires a different view of teaching and learning than currently forms the foundation of education. The content-centric view reflected by LMS’ must be replaced with more adaptive network models. Instead of experts and designers serving as the key sensemaking and wayfinding agents in curriculum, social networks and their ability for context-sensitivity must play a greater role.

If Google and Facebook serve as an example, some degree of transition will be required for both LMS and social networking services (SNS). While Google has adopted greater networking features in the last few years, Facebook has also increased its focus on content (images, videos, etc.). At this stage, however, LMS’ will need to make a far greater transition for long term educational relevance than an SNS like ELGG.

Technologically Externalized Knowledge and Learning

October 20th, 2009

Let’s take a step back and consider how well we are using learning technology in contrast with what is possible given advances over the last decade. Ideologies influence design, then design constrains future options. We don’t have to look very far to see examples of this simple rule: classrooms, design of organizational work activities, politics, and the operation of financial markets.

What we create to survive during one era serves as neurosis for another. In education – particularly in technology enhanced education – a similar trailing of ideologies from another era is observed.

For example, education consultants and speakers commonly declare “if a student from 100 years ago came to our classrooms, she would feel right at home”. Obviously, this is an absurd statement (even if we overlook the challenges of time travel). Education has undergone enormous changes to curriculum, instructional methods, and technologies used. Classrooms today have a more diverse student population, greater attention is paid to the needs of students with special needs, and (for good or bad) students are instructed in different ways of knowing and understanding – in contrast to the singular world views of only 50 years ago. While pundits are wrong in criticizing schools as unchanged in a century, they overlook the more obvious challenge: learning itself is unchanged. Content, student, teacher, interaction (maybe), and assessment; in various combinations, continues to form education’s core.

What are the ideologies reflected in this approach to learning? And do we still need them?

Without going through a painful attempt to deconstruct learning and its systemic origins, I think it’s safe to state the following as the key elements of a weltanschauung that define formal education:

1. We know what students need to know in advance of their arrival (the learning needed can be defined)
2. Through manipulation and sequencing of content and interactions, we can get students to learn what we’ve already decided they need to learn (control)
3. Students at a similar age/grade/program level have a similar knowledge base. Even if we don’t make this explicit, how we design and deliver learning in K-12, university, and corporate settings is evidence that we hold this view. (similarity)
4. Structure, goals, outcomes, and assessment are all good. For that matter, coherence is good. Learning needs a target. (coherence and structure)

Other ideologies exist, but these are particularly influential in education, impacting design to accreditation.

What is wrong with these views?

To return to the opening statement, these views reflect an ideology that is growing in obsolescence in relation to the world outside of classrooms and training labs. When does a student know the structure of a problem in advance of solving it when she’s trying to create a YouTube video? When do a group of children know their learning outcomes when they choose to create and play a game? When does a salesperson know in advance that their is a correct way to engage a foreign client and thereby when the business of their organization? Learning, occurring under contrived conditions in classrooms, bears only a faint resemblance to real world problems and challenges. This is hardly news. Educators have known this for decades. Case studies and problem-based learning were developed partly as a response to the fabricated classroom environment.

Pedagogical innovations, as expressed in constructivism (in its many, many shades), do not provide the full force required to pull away from irrelevant ideologies that seek to warp learning to reflect needs of a different age. This failure to overcome ideologies is due to an inability, to date, of educators to rethink the learning model. Reformers have largely worked within, rather than on, the system of education. Working within the system has resulted in status-quo preservation, even when reformists felt they were being radical. Illich failed to account for how educational institutions are integrated into society. Freire spoke with a humanity and hope that was largely overlooked by a comfortable developed world incapable of seeing the structure and impact of its system. To create and nurture change, a message must not only be true for an era, but it must also resonate with the needs, passions, interests, realities, and hopes of the audience to whom the message is directed. As a result, pedagogy has not influenced learning broadly. It has lifted the spirits and motivations of small camps of educators for brief periods. But it has not altered learning in a way that transforms the system of education.

The externalized generation…

The last decade has provided individuals with the tools to continually externalize their thoughts and ideas. History is generally revealed to us through significant artifacts. We have books (artifact) that capture certain time periods. But we don’t have the raw daily conversation. We have a sanitized view of history. Future generations will likely have access to far more historical information than we currently have. Through Youtube, Twitter, Facebook, SecondLife, podcasts, Flickr, and blogs our daily conversations can be captured. Conversations that occur on Facebook or Twitter do not vaporize the way conversations around a boardroom table do. As both Vygotsky and Wittgenstein argued, language gives birth to thoughts. Twitter gives birth to identity, to being. Technology has enabled our generation to externalize – through video, pictures, audio, text, and simulation – our ideas. Once externalized, a trail of identity and conceptual development is left for future consideration and analysis. (I wrote more on the role of externalization and technology in this paper from 2006 (.doc))

Finding a cure for stale ideologies

Instead of working within the system of teaching and learning, let’s turn our attention to changing the system itself by suggesting responses to the ideologies discussed previously:

1. The learning needed can be defined
2. Control is needed to achieve required learning
3. Students at similar stages need similar learning
4. Coherence and structure needed for learning

French philosophers (always blame the French…but the Germans contributed their share as well) have lead us to relativistic views that could be used as a method for challenging these four ideologies. This would provide hours of fun, but with little practical outcome. The development of chaos and complexity theory offer another approach, but models in the physical sciences are often only useful as metaphors in the social sciences.

Education has had enough theorizing (yes, I get the irony). Let’s throw in a dash of pragmatics and see where we end up. In fact, let’s start at the smallest element in the learning process: a connection. Instead of trying to squeeze curriculum into a myriad of epistemological views and adding a splash of psychology and sociology, I suggest we zero in on connections. Biologically, learning is as simple as the firing of neurons. At a conceptual level, learning involves the connecting/weighting/strengthening of links between concepts and ideas. At a social level, learning involves interacting with other individuals (and increasingly, technological agents). How are connections formed? What does a particular constellation of connections represent? How important is technology in enabling connections? What, if anything, is transferred during an interaction between two, three, or more learners? What would learning look like if we developed it from the world view of connections?

Introducing [something that I haven't named yet]

Here’s the basic concept: technological advances in how content is created and how individuals interact are at a sufficient stage to serve as a replacement to traditional classrooms. Enter Technologically Externalized Knowledge and Learning (TEKL). Or Connector. Or Learnometer. Or learnalyzer. Or Learnabler. Or future learning approach. I have no idea what to call it without evoking the cheesy Batman “pow” images and shark repellant from the 70’s. For know, I’ll stick with the acronym TEKL.

What is TEKL? TEKL is a physical, wearable device that captures our physical and virtual interactions and assist us in recognizing and forming knowledge connections based on our past interactions, our social network, and our current work or personal interest needs. The image below expresses the elements of TEKL and provides additional detail on the function of various agents.:

Technologically Externalized Knowledge and Learning

Technologically Externalized Knowledge and Learning

Components of TEKL:

Profile: Our profile is essentially our identity online. We can contribute to the formation of our identity by completing profile pages on Facebook, our organizational social network or directory (i.e. IBM’s Blue Pages), or Google Profile. However, our identity and profile will be shaped by what others say about us online and by the indirect messaging evident in the types of people we connect with (i.e. if 90% of your friends are of a certain political or religious view, the probability of your politics/religion being similar is high). The portion of our profile that we control (i.e. what we say about ourselves) could be used for TEKL to suggest social (geographic) connections at conferences or other venues. Google Latitude – and numerous other services that map profile/social network to geographical location – is an example of what an early prototype of this service might look like. The intent of the profile feature of TEKL is simply to make available certain aspects of ourselves for connecting with other people and with information. Over time, our profile is augmented with additional information extracted from our patterns of interaction. Eventually, the trails left in our interactions and in our word/language use will enable TEKL to know us well enough to provide general guidance and direction (counseling?)

Patterning Agent: The patterning agent provides metrics, feedback, and visualization. How many words have I spoken today? How did I develop conceptually today (concepts are address by a separate agent – more on that below)? If I’m seeking accreditation in a particular field, how much progress was made? How do the ideas I addressed today match against ideas I’ve expressed in the past (my profile). Essentially, this agent visualizes our social networks and our interactions with others, providing insight into our knowledge and learning habits.

Discovery Agent: The discovery agent actively solicits additional information based on our current context and our social network. For example, if I sent an email to a colleague three weeks ago addressing, say, the headaches I have with my investment banker, the discovery agent would continually “seek” opportunities to connect me with individuals who have related patterns of communication (say a colleague in my social network who has a great investment banker). My communication and information patterns are constantly matched with those in my social network. Connections are recommended that I may not have noticed on my own. The discovery agent also serves as “constant Google” role, providing new and updated information based on previous emails, texts, tweets, phones calls, web searches, courses, and conversations. This agent can provide a valuable role when activated at an organizational level – i.e. “George, a colleague in UK is displaying similar patterns of conversations, would you like to connect with her?”. Privacy, obviously, is a huge concern here. Does the organization own our words and interactions? (by offering suggestions for interactions, our work habits would be made explicit, analyzed, and then matched).

Matching Agent: The matching agent analyzes an individual’s conceptual development. This requires that all of our interactions and conversations are first recorded. If a field has been well defined, a matching agent can make recommendations to information and social connections that would provide value for our learning. If I decide I want to be a nurse or an accountant, I can load the attributes of this work-type into TEKL and it would provide continual information and social recommendations to help me “become” a nurse or accountant.

Monitoring Agent: The monitoring agent works closely with the matching agent. It essentially serves as an “overlay” agent, determining progress toward our goals. With the profile of a particular career fully loaded, I could see regular indications of progress toward the requirements accrediting bodies allocate to that field. And, when I’m done being an accountant, and decide I want to be a carpenter, this new work-type can be installed into TEKL and my existing competencies and conceptual understandings can be measured against my new career. Instead of duplicating my learning as I change careers, I’m only required to develop those skills and conceptual elements that I’m still missing.

Mentor/Guide: The mentor/guide aspect of TEKL is the human/social function. When we decide to explore a new field, we may wish to have the value of a human guide, sharing personal stories and recommending approaches to our own learning and knowledge growth. E-harmony and other online dating services have altered how people date and find partners. TEKL offers a similar learner/teacher connecting service. Our profile is matched with educators/instructors, suggesting ideal relationships for learning.

As we go through the day, TEKL merrily records, matches, monitors, and recommends our learning and knowledge needs. When we go to bed, TEKL process our conversations (verbal – after all, everything is recorded), our email, our work habits, and our information seeking activities. Then, when we wake up, we receive a learning and knowledge status report, providing us with intelligent and relevant information as well as recommendations for greater personal efficiency and critical sources of information. The is a daily personal knowledge and learning GPS that provides direction and progress.

How does this move the field of learning forward?

How does this overcome the ideologies that education has to date been unable to shed through pedagogical reform?

First, given nature of today’s complex problems – we have hit the limits of cognition in the head. We need to rely on the network as a cognitive agent. Solving the biggest problems of humanity will require a pedagogy built on networks and the distributed knowledge amplification opportunities they allow.

Second, it pushes learning into the background. Rather than saying “I am learning now” – a nonsensical statement as we are constantly learning – it makes what we’ve learned explicit only after learning, rather than before (i.e. “learning outcomes”). Where the learning is undesirable (a misconception, for example), feedback is provided through both social networks and through conceptual patterns analysis.

Third, it accounts for the complexity of learning by permitting learning needs to be formed and reformed based on current needs and context. The learner is, in the much abused term, “in control”. Learning as foraging.

Fourth, instead of squeezing all students into a curricular path that ignores individual distinctions, students are continually provided personalized (ugh) content and connection suggestions.

Fifth, the coherence and structure of learning is not solid and fixed as in a course. Instead, coherence is continually shaped and formed as new connections are suggested, existing conceptual networks are challenged (by social networks and patterning software). Structure is a by product of learning processes, used to evaluate quality of learning in relation to some other entity (say, the competence and knowledge to be a nurse or a business person or a plumber). Where no ulterior motives – such as accreditation – are sought, evaluation is not a significant concern.

The real issue

The real issue is not related to technology. It’s the conceptual jump that’s most difficult. For example, the functionality expressed in TEKL exists in various tools already. The key value produced by TEKL is to connect the pieces in a meaningful manner that allows for personalization, utilization of social networks, exploration of patterns, and layering of “knowledge and skills” over an existing profile to offer new learning opportunities.

Different areas of research and entertainment – such as language analysis, data visualization, social network analysis, matching services on Amazon, friend suggestions on LinkedIn – have made significant inroads analyzing and matching information based on context and need. TEKL is, in a sense, a connecting agent drawing together proved functionally various fields and directing this connected structure in the service of learning and knowledge growth.

Utah State OpenCourseWare, lowriders, and system design

September 11th, 2009

Utah State University has announced the closure of its OpenCourseWare initiative due to budget woes. I call nonsense (or BS). Apparently OCW needed $120,000 per year. Given the size of Utah State University, I’m going to guess they have an annual operating budget somewhere in the range of $300-400 million. This is not a budget shortfall – this is a commitment shortfall. 120K is a fraction of a fraction in light of the larger university budget.

This illustrates my concern about centrally organized open educational initiatives – they have a single point of failure: funding. There is a solution. It’s called systematization.

Let’s consider lowriders (the cars/trucks, not the jeans). I’m not into lowriders. This is mainly due to my general lack of being cool. But it is also partly due to how people react to after market modifications. When I buy a new vehicle, I like things to be fairly painless. Air conditioning? Yes. Power windows? Yes. (can you even get new cars without those options?). Satellite radio? Yes. However, if the salesperson stated it would take a few weeks to months to get specific features like GPS, I would likely pass. Why? Because certain options are not really options. They are cast as additional features, but in reality, we expect them as part of our vehicles. These options have been systematized into the development of the vehicle.

Lowriders, on the other hand, are true after market vehicles. Expensive customization is the general rule here. Which means if you didn’t buy your vehicle as a lowrider, there’s a very slim chance you’ll get it customized. A small fraction of society will pay for this extra work.

What does this have to do with Utah State?

Everything. The OER and OCW movement(s) are fundamentally flawed in where they assign openness. Openness is being treated as separate from curriculum development and delivery. Openness is viewed as an after market feature. And most universities aren’t too eager to pay for the extras.

Openness should be built into the process of curriculum design – it should be systematized just like so-called options of air conditioning and power windows in vehicles. As long as openness is separated from the rest of education, it will be seen as a cost-cutting option. Which is really rather silly. The 0.034% savings to Utah’s budget this year reveals the precarious position open education holds when treated as an optional add on…

Struggling for a metaphor for change

September 2nd, 2009

In a skype conversation with Tony Karrer last week, our attention turned to change. Specifically, what is it that is changing in society? With technology? How do these changes impact corporate learning? Or higher education?

Given the breadth of change, is it possible to find a metaphor that can readily be used to capture not only what has changed but what we (as individuals and as organizations) are becoming?

I’m generally fairly cynical about catch-phrase metaphors such as “flat world”, “long tail”, “tipping point”, “[anything]2.0″ and so on. These phrases fail to capture the full complexity of the change they are trying to define. However, as models (and any model is at best a simplified abstraction of the phenomenon they intend to represent), catch phrases serve as initiation devices. It is a far easier to sit down with someone who has not been following technological developments and express change through terms like “web 2.0″ than it is to do a quick review of the history of the web, limitations of early web-based models (one-way flow) and the recent return to read-write web models, crowd sourcing, etc.

What is changing…

Rather than offering a metaphor – largely due to the fact that I haven’t yet discovered one that captures what I want it to – I’ll quickly run through meadows of change and describe what I think exists. This process of trying to define “what is the fundamental nature of change” is one that I have to pathologically tackle annually. In 2006, in Knowing Knowledge (.pdf here), I listed a series of seven broad change factors:

Change is shaping a new reality under the fabric of our daily lives. Seven broad societal trends are changing the environment in which knowledge exists:

1. The rise of the individual: Individuals have more control, more capacity to create and to connect than in any era in history.
Relationships are defined by convenience and interest not geography. We can work wherever and whenever. Time and space no longer limit global conversations.
People are able to connect, share, and create. We are co-creators, not knowledge consumers. Content generation is in the hands of the many. Co-creation is an expression of self…a sense of identity…ownership. We own who we are by the contributions we make.
2. Increased connectedness: Connections raise the potential for adaptation. The power of the human brain is derived from the capacity of each neuron to form many connections. Entities capable of connection forming are capable of adapting. The greater the number of connections possible, the more adaptive the organization.
We are being remade by our connectivity. As everything becomes connected, everything becomes transparent. Technology illuminates what was not discernable to the human eye.
3. Immediacy and now: Everything is now. Knowledge flows in real time. Global conversations are no longer restricted by physical space. The world has become immediate. New information changes markets in minutes. New programs are written in hours, building on the openness and work of others. Leaders must know what happened five minutes ago, not only what happened yesterday. Our filters of information and knowledge assume delays and stopping points, so we can assess implications.
4. Breakdown and repackaging: It is all in pieces. Knowledge is unmoored. The selection, flow, and discussion of knowledge have all moved from controlled spaces (at the point of creation or filtering) to the domain of the consumer. We take small pieces. We mix them. We create personal understandings.
Shared understandings happen only when we absorb similar patterns as others…or when we create shared patterns. Today, we receive our news, our entertainment, our learning, from distributed means. Two people in the same household stitch together different understandings based on the pieces each used.
5. Prominence of the conduit: Connection-forming tools will always create content, but their value lies in our ability to reflect on, dialogue about, and internalize content in order to learn. Content is knowledge frozen at a certain time (a magazine article), whereas a connection is a pipeline to continue to flow new knowledge.
6. Global socialization: We are now able to socialize our activities to an unprecedented level. Technology is opening doors to conversation. Every nuance, every characteristic, can be dissected and represented in multiple ways and perspectives. The notion of what is known is confused with limitless viewpoints. Certainty is clouded by multiplicity.
7. Blurring worlds of physical and virtual: We blend our virtual interactions with face-to-face. Our water cooler conversations driven by last night’s newscast, the comic strip in the morning paper, are replaced with discussions of video logs, or content presented online (personalizing the internet with our views). The creator, the consumer have become one.
The membrane between real and virtual is thinning.
We are starting to exist simultaneously in each.

And eight broad trends influencing our relationship to knowledge:

1. Abundance: Knowledge depreciates rapidly when new knowledge is constantly being created. The life-span of knowledge is shrinking. An expectancy of relevance and currency of knowledge, for a cycle of years and decades, has now been reduced to months and years for many disciplines. Fifty years ago, education prepared an individual for a life-long career in a particular field.
2. Capacity for recombination: The ability to connect, recombine, and recreate are hallmarks of knowledge today. Small pieces, which stand on their own, can be recreated in different media, contexts, and used to create more personalized, complex structures. The material used to build a car must be put together in a precise manner in order for the vehicle to function. Knowledge can be woven, connected, and recombined in limitless ways…creating the possibility of personalized networks of knowledge.
3. Certainty…for now: Knowledge is not directly related to certainty. We think that “to know” means to abolish doubt. But knowledge is often more about knowing that we do not know…where not knowing is held in context.
Certain things we can know for certainty, but only for now. The pressures of change form quickly from non-traditional corners. Developing countries, the masses, the oppressed—all can be partakers in shaping the direction the wind of knowledge blows.
4. Pace of development: Books take years to publish. Conferences take months to plan. Magazines take weeks to write. TV newscasts take hours to produce. End user created media takes minutes to produce and circulate.
The filter of time, to take the edge off of reactionism, is torn away. Events are deciphered in real time. The ferocity of responses, views, and dissemination walks a path of passion, not cold reason.
5. Representation through media: Ours is a world shaped by diversity—text, video, audio, games, and simulations represent ideas, concepts, and emotions. The power of text fails to cast its shadow as broadly as previously. The creators of knowledge do well to think beyond text. The passivity of text is disturbed by media.
Images, video, and audio now communicate the breadth of our experience with emotion and life. A picture released by an observer in a disaster zone (war, hurricane, earthquake) is worth many times more than the commentary of an expert. An image sears the brain, “lending immediacy to images of disaster” .
6. Flow: Feedback shapes original knowledge sources. We have moved from hierarchical to network. It is end user driven. A right decision today may not be right tomorrow.
In a knowledge economy, the flow of knowledge is the equivalent of the oil pipe in an industrial economy. Creating, preserving, and utilizing knowledge flow should be a key organizational activity.
Knowledge flow can be likened to a river that meanders through the ecology of an organization. In certain areas, the river pools and in other areas it ebbs. The health of the learning ecology of the organization depends on effective nurturing of flow.
7. Spaces and structures of knowledge organization and dissemination: Spaces and structures are the organizational elements of society. We dialogue and function within these elements. Spaces—schools, online, museums, corporate boardrooms—provide the environment in which we do our conversing, meeting, knowledge sharing, and dialoguing. Structures—classification systems, hierarchies, command and control, libraries, government—provide the process and manner in which decisions are made, knowledge flows, and things get done.
Structures and spaces direct affordances. New structural approaches permit the formation of organizations prepared to manage diverse and rapid knowledge growth. Building a baseball diamond enables competitive baseball (or an impromptu soccer game). Creating a concert hall permits performances and concerts.
8. Decentralization: Aggregation of knowledge/information sources has really changed over the last few years. Until recently, most of our information was delivered through a centering agent—a television, newspaper, magazine, or radio. In this model, our primary task was to absorb or consume the structure of information created by a third party.
The centering agents have come undone. Knowledge agents continue to connect and form, but not according to the views of others. We have become active organizers of individual agents. We weave our networks.

Earlier this year, Peter Tittenberger and I listed a series of change pressures influencing the future of education in our Handbook of Emerging Technologies for Learning (.pdf). These change pressures were grouped into four categories: global, social/political, technological, and educational (social learning theory in particular).

My weekly elearnspace newsletter/blog) is an eight year running attempt to capture and briefly explore the impact of trends from numerous fields on education and training.

Everyone is trying to give voice to change

Popular literature and media demonstrates an obsession with trying to define what is changing in society: Friedman’s World is Flat, Shirky’s Here Comes Everybody, Weinberger’s Everything is Miscellaneous, YouTube videos (Machine is Us/ing Us, Did You Know?), and numerous sites (trendwatching) and organizations (World Future Society).

Society and its institutions are fixated with understanding the nature of change. And they should be: successful organizations will ones that are capable of sensing, responding, and adapting to trends.

Prominent expressions of change

Given the discussion of change above, what types of trends should trainers, leaders, and educators be aware of? Well, for starters, we really need to do away with traditional planning models (i.e. rigid multi-year plans) and instead adopt a futures thinking model. Futures thinking is concerned with defining current trends and creating multiple potential future scenarios. Both strategy and planning should be done in an iterative manner (see Should you Build Strategy Like you Build Software?). After all, the reality of change is quite simple: rapid change reduces the ability of an organization to control outcomes, requiring smaller planning stages to be initiated so that adaptability (i.e. responding to trends) is increased.

Finding our way…

How are leaders to make sense of trends? I’ll suggest a five stage process:

Managing Trends

Managing Trends

  1. Become adept at change observation – note trends, reflect on potential disruption of sustained trends on existing organizational processes
  2. Identify trends of relevance – which trends have “life”? Which trends are more than an anomaly? Begin to aggressively track these trends and engage in conversations with co-workers, industry, and fields experiencing similar challenges
  3. Plan a small-step response: Experiment. Pursue those experiments that show promise.
  4. If trends are pronounced and a fundamental alteration to the existing field is noted, involve others in futures thinking, exploring scenarios, and planning responses. The best way to lead is still to get in front of a parade :) . The key focus at this stage is to consider implementation responses to trends that have demonstrated themselves to be resilient and sustained.
  5. Repeat steps 1-4 until you retire

What does this look like in practice?

Change is a constant (go Heraclitus!). Numerous change pundits suggest any combination of the following changes that will influence society in the next several decades:

  • Workforce change: aging workforce, different mindsets and expectations of younger generation, work-at-home, outsourcing, insourcing, whatever-else-sourcing, developing world will contribute substantially to future workforce, immigration will continue to grow to developed countries to replace reduced population due to smaller families, etc. New fields, new careers, and new corporate models (i.e. the “uncorporation”) will develop.
  • Globalization will continue to influence society and the renegotiation of values and world views: rise of extremism, tourism with grow, we’ll continue to buy the newest stuff (causing increased conflict between a society organized to serve consumerist needs with those seeking spiritual basis of life).
  • Environmental concerns: sustainability becomes a growing concern (cynic in me: due largely to the ability of governments and organizations to transition the capital and financial benefits to a green economy), greater pressure on travel reduction, water shortage concerns, human impact on planet continues to drive extreme sub-culture groups in society (of a growing militant nature)
  • Technology: more, better, faster. And a growing debate to what it means to be human. Military use of drones and development of robotics for household use will increase. Consumer devices will continue to be defined by social purposes (communicating and connecting) but will be amplified with greater touch-focus and location-awareness. RFID and surveillance cameras will raise concerns of individual rights and privacy. The things we share through Twitter, Facebook, and other tools will begin to influence simple things such as house insurance (”I’m going to Bahamas today” is an open invite for burglary) and even personal insurance. Legal systems will face an unprecedented role in redefining personal, government, and corporate rights.
  • Knowledge remains king. Societies around the world will continue to compete for the gains of a knowledge economy. University systems will become more prominent and important. As will corporate research initiatives. Public/corporate intellectual property will be a fun fight to watch. Research in universities will continue to be under pressure for open access. No so with corporate research. Patents and intellectual property will make life suck, because things will get more absurd before they get better.
  • Everything digital. Business meetings, publications (newspapers, books) and information in general will continue to be digitized. Once RFID tags are prominent in all information and physical products, the internet of things will blend the digital with the physical. Digital is not simply an add-on to physical. It’s a separate world (see next point)
  • Cyber-security. Governments and corporations become increasingly concerned with security. Digital information is technically accessible from anywhere. Credit cards, health records, research, and roughly any other data of value needs to be protected. Cyber-security wars will become a real concern.
  • Multinations. Big companies will get bigger. And more integrated. Corporations, not powerful governments, are the new hegemonic agents in promoting globalization. While some suggest transparency (through social media and ability of consumers to quickly organize) can play a role in keeping these organizations accountable, I’m less optimistic. Ultimately, any time a group of people get together, they will create entities to extend the reach of power in pursuit of their ideals: religion, government, corporations. This is the century of corporate power.
  • Economic shifts. The economic development of China, India, parts of Africa, and parts of South America will produce a capital (and thereby power) shift: north to south, west to east. Capitalism is far from dead, in spite of those who eagerly declare it so after the 2008 crash.
  • Education. Complex integrated societies and an economy based on knowledge will require continued education. Lifelong learning – touted for decades – is quickly becoming a reality for many individuals. Education will become more specialized, raising the importance of cross-discipline conversations and information sharing. (remember a few decades ago when “the computer guy” did everything technology-related in your organization?)
  • New sciences. Development in nano and neuro technology (blended with techno-biology) will force a rethinking of the human species in terms of free will (does a brain lesion that influences a persons disposition to violence=free choice?). New sciences will arise to dig more deeply into fields that are only being explored at a surface level today. Biology, for its amazing advances, is still a relatively young field. Greater computational power will provide new research opportunities and advances. For that matter, robots and technology will become active researchers (outside of full human control…we may not call this autonomy as some programming will be required).
  • Advanced research in the field of change. Behavioral economics, decision making theory, and game theory will provide insights into how people make decisions and change. Marketers will quite enjoy this. Change as a discipline of study will develop. Why do companies change? What are the primary principles of change? Does environmental change provide any insight into how markets change? Or how companies compete and innovate?
  • Demographics. Cities will continue to grow in size, population growth will continue (9+ billion by 2050), people will live longer (except, some developed countries may experience a drop in life expectancy due to obesity and diabetes). Apparently, location still matters even in a digital world, even if only to foster creativity (i.e. Richard Florida)
  • Amount of information. I don’t really need to provide evidence for this. Go check your inbox. Or your “to read” list. The impact of information abundance, however, is the real area of attention. As PW Anderson stated, more is different. Rapid growth of information requires organizations think of new ways to cope, compete, and cooperate.

So What?!?

Many more elements of change can be considered, but, for now, the above list provides a bit of an indication of what’s happening. For educators, trainers, and others somehow involved in the field of learning, the big questions boils down to: so what? We know things are changing. What does it mean? What should I as an academic or learning and development leader do with the list you’ve provided? What is the core, the central element of change (assuming one even exists)? What does it mean?

That’s where I’m stuck, and it brings me to the start of this post: What possible metaphor can capture the impact of these many change elements on education? On learning and development? How should organizational leaders respond?

Responding to change is much easier when the nature of the change is understood (duh). Are we at a point now where the world economy is resetting, similar to what occurred during the industrial revolution? There isn’t much of a point in talking about how to respond when we aren’t really clear on the change itself.

Thoughts??

Resources to consider:

Shift Index (.pdf)
Trendwatching
World Future Society (including special report of 55 trends shaping tomorrow’s world)
Trends in Global Higher Education (.pdf)
My delicious tag on trends
Ontario in the Creative Age
Global Trends 2025: A transformed world (.pdf)
Learning in Tough Times (Conference Board of Canada – for purchase, though Canadians can get it for free)

Radicalization of Education Reform

August 27th, 2009

David Wiley posted a concern about feeling out of place at the OpenEducation Conference in Vancouver last week. Since he started the conference four years ago, his sense of disconnection from the zeitgeist of the event is interesting. In particular, he’s concerned about the radicalization of education. I tried to post a response last night…but his site informed me it was a “duplicate post” (whatever that means). If I can’t use Wiley’s microphone, guess I’ll use my own here. This is the comment I tried to post:

Hi David,

Interesting post. I remember reading something about you proclaiming the end of universities by 2020 if they don’t change…and even offering your own certificates for course completion. Or perhaps I’ve read about you in a recent Fast Company article on higher education transformation. How radical of you! :)

A few somewhat random, but loosely connected, comments:

I share your concern about some of the conversations occurring in the edtech field (I think it’s broader than the OpenEd conference) relating to the role of universities. Thinking on educational reform is increasingly radical (ok, maybe it’s been radical for decades – i.e. Illich, Freire, and even Dewey). A good bit of radical thinking can be healthy, as long as it is radical thinking directed at the right object at the right time and in the right manner.

Experiences like you detail here are great for clarifying what a person actually believes. Sometimes I think I believe something…but, as I face the logical outcome of a world organized on those principles, I often find I pull back and rethink (or moderate).

At the opening of our policy meeting at OpenEd09, I mentioned that I was concerned we were going to become “Stallman” if we did not find a way to begin to speak at the power table. A group of bloggers and grassroots movements will not re-create the education system. Why? Integrated systems (networks of networks) are very difficult to change. Universities as we know them today will continue to play a role because of their tight integration to the power structures of society. In this instance, I think we need to “play within” the system in order to enact change.

However, and this gets to our conversation in your previous post, not all aspects of education are integrated in a networked manner. When an aspect of education is linearly integrated (like textbook publishing), significant disruption can occur without impacting the system of education. If all textbook content was made available in digital form, would we really suffer? I think not.

Now, to turn to your discussion of confusing means and ends, OERs are a lever of change. (I addressed university-level change in relation to OERs here as a post-OpenEd reflection: http://www.connectivism.ca/?p=151). Education is concerned with information creation/exchange. As Frank and Gabler argue, universities map the reality of the society in which they exist. As we begin to do new things with information, we also need to begin to shape our institutions differently. Higher education is in a period of rebalancing. I recently read a UNESCO report (.pdf) (pre-reading for the world conference on future of HE in France) that explored the dimension of change impact universities: globalization, technology, internationalization, research agendas, etc. Change is in the air.

While highly integrated systems don’t disappear overnight, they do change and evolve. Consider the growth of international education in Australia. Education is their 2nd or 3rd (depending on which report you look at) largest export. Entire university systems (King Abdullah University) are being built from scratch for a few meager billion. World Bank, UNESCO, OECD, and other international agencies, have turned their attention to the “virgin forest” (Fast Company quote) of HE.

I think we will see radical change in parts of education. I’m not sure where we’ll see radical change and where we’ll see evolutionary change. Teaching is the most obvious area of dramatic change given the communicative aspect of technology development. Online learning is a viable option (EDUCAUSE and Sloan-C support this development…as does the report released by US Dept of Education a few weeks ago) to classroom only learning.

The research roles of universities, on the other hand, are well integrated into society. Accreditation also continues as an important role for universities to play in society. For now at least, these two roles of universities is fairly secure in society.

In my youth, I went on a silent spiritual retreat. Days without speaking – except for ~1 hour each day with a spiritual adviser. On day 3, he made a statement that has guided much of my thinking since: never move away from something – you never know where you’ll end up…always walk toward something – this ensures you end up where you want to be. If we desire to do away with universities because we think they are obsolete (and in many ways, they are), we really don’t know what the future will look like. Change is about moving toward what we desire. But many reform advocates are not really clear on this yet. For that matter, I’ll direct the question to you: What type of higher education system are you moving toward? What are you working to achieve?

It’s not peer review if you aren’t familiar with the subject

August 24th, 2009

I have been only partially active in publishing through traditional peer-review channels. I have published perhaps a dozen articles and book chapters through this process. I am active as a reviewer for about 10 different journals and conferences. Additionally, I’ve served as special editor and invited (non-peer review) author for several journals. As conference chair and co-chair I have also been involved in selection of papers, outstanding papers and posters, etc. I understand the review process as an author, reviewer, and editor.

But I’m dissatisfied, and growing more so, with the process for the following reasons:

  1. The process takes a long time (anywhere from about eight months to several years – depending on the field). By the time an article is finally in print format, it’s often partly obsolete, especially in the educational technology field.
  2. The process is not about quality. I’ll get into this a bit more later in this post, but from my experience, many, many good articles are poorly reviewed simply because the reviewer is not well informed in the area. I frequently turn down review requests when I feel I am not capable of serving the process well. I’m not convinced this is often the case. At several recent conferences, I was exploring the poster sessions (often comprised of articles that are “downgraded” to poster sessions at research-focused conferences). I was surprised at the exceptional quality of several posters. Inexplicably, excellent research-based papers were not receiving the attention they deserved (especially when accepted papers were of noticeably poorer quality). I can only conclude that reviewers failed to understand the research they were reviewing.
  3. The process is not developmental. With few exceptions, journals and conferences run on tight time lines. A paper that shows promise is often not given time to be rewritten due to time constraints. Peer review should be a developmental process (I threw out a few ideas on this process in Scholarship in an Age of Participation). Journals should not be knowledge declaration spaces. Journals should be concerned with knowledge growth as a process in service of a field of inquiry.

What then does a “good” review look like?

Let’s say it takes 40-80 hours to write a 5-7,000 word paper. A reviewer, in a timely manner of at most two weeks from initial assignment of the review, needs to:

  • Read the article for general coherence
  • Map out (mentally at minimum) the core arguments and support provided
  • Evaluate the suitability of research methodology to the questions being considered in the paper
  • Decide if the conclusions draw by the researchers/authors are warranted by the research conducted, paying particular attention to common research errors (such as causation/correlation, generalization based on too limited a sample, etc).
  • Validate the quality and appropriate use of references, noting any significant gaps in existing literature
  • Determine if the paper advances some aspect of knowledge in the field (i.e. does the paper say something new? Does it draw novel connections between disparate research? Does it debunk existing views held by researchers in the field, etc.).
  • Finally, based on literature, methodology, conclusions, and original contribution to the field, determine if the article is suitable for publication. If the article is not suitable for publication, the reviewer should recommend improvements to bring the article up to high standards or suggest why it is not suitable for amending (i.e. out right rejection). If the paper is submitted for a conference, the reviewer may recommend downgrading it to a poster session.

How long should this process take?

From my experience, reviewing an article is at minimum a three to four hour task if the reviewer is familiar with the citations and methods utilized by the author(s). In many instances reviewers will require more time. For example, I’ve encountered articles that address a core subject that I am familiar with (learning technology or something similar) and then utilize a framework from sociology or psychology to express a viewpoint. If I’m not familiar with the core topic, declining to conduct the review is the only sensible response. Assuming I am familiar with the core concepts, I then need to take time to research the peripheral topics in order to effectively review the paper. This alone can add hours to a review.

The problem of being current in a diverse field…

In the field of emerging technologies, too many reviewers are not current and as a consequence should not be reviewing papers. If a person has not blogged, taught using Second Life, experimented with Twitter, or is not aware of the development of open educational resources, social learning theory, or personal learning environments and learning management systems, then they have no business conducting a review. Keep in mind, peer review is about subjecting your work to experts in the field. Because the emerging technology field is young, many reviewers are simply not competent to be conducting the breadth of reviews that they conduct.

Complicating this concerns is the diversity of our field. Educational technology is an aggregate field. We can just as soon discuss Vygotsky as we discuss XML, motivation theory as cloud computing, and social networks as systemic transformation. Even when journals are focused on a particular subset of this complex field, articles and references will require reviewers to devote significant time to effectively review an article.

Why bother reviewing papers if it’s so difficult? Well, it’s difficult because it’s important. The quality of thinking of the educational technology field is influenced by the quality of the papers being published. As such, peer review should be far more iterative than it currently is. The best journal I have come across in this regard is Innovate (James Morrison is the editor). Dr. Morrison provides a review process that is personal and developmental. I recall reviewing one article four times over a short period of time. The final product hardly resembled the original paper (I still suggested rejecting the final article, but I was “out voted” by the other two reviewers). In this instance, the paper quality was substantially improved through review, recommendation, and rewriting.

Peer review is also a personal learning process. Reviewing an article forces a person (at least it does for me) into a critical state of mind. Reviewing articles is a rich thinking and learning process. The reviewer, as much as the reviewed, benefits in the experience.

Why I’m frustrated

I recently submitted an abstract, which was accepted, for a special edition of a well known journal.

About four months after submission, I received the following response:

While a well-written paper, it appears to be a cut-and-paste from someone’s thesis or dissertation. I do not see how the history of the university is relevant for [deleted to preserve anonymity]. Some of it (The Contemporary University) might be of value to the reader, but I don’t believe the majority would hold the reader’s interest. The pages and pages of references are also a dead give-a-way that this is someone trying to get their graduate work published – which is appropriate. But it doesn’t appear to me that the writer took enough time to tweak the writing such that it would be appropriate for this journal.

(for what it’s worth, it was not a cut and paste article, it was written specifically for this journal submission)

The reviewer also selected a few responses about suitability of the article, relevance to journal theme (which in my eyes was moot as the editor had already accepted the abstract, confirming journal theme relevance), with the letter ‘S’ or ‘U’ posted beside each category. What does that mean?? Uber-fantastic? Stunningly Sucky? I don’t know. I suspect probably some variant of “satisfactory” or “unsatisfactory”.

This single review is what we (it was a co-authored paper) were given for rejection. No indication of ways to improve the article or suggestions for resubmission were offered. I was irritated (and still am). So I sent the editor the following email:

I find the quality of the feedback unacceptable, however. Based on what you provided, it appears that the reviewer paid scant attention to the article and its relevance for publication. The core assertion Dr. [deleted for anonymity] make is: information creation/dissemination patterns of an era is reflected in the design of a society’s knowledge institutions. [more deletions for anonymity purposes]. What we do around information is (more so than web 2.0 and technologies) foundational to how higher education will be transformed.

I fully understand if you and [name deleted for anonymity] as editors feel the article was not of sufficient quality to warrant publication. However, if your decision is based on the single review you provided below (by an individual who spent precious little time on the article it appears and whose most substantial comment is to state that it was cut and paste from a masters project due to number of references) it seems peer review was not well attended in this rejection.

I then received a response saying “We’re currently chasing down the second review and trying to understand why it wasn’t sent to you automatically as it should have been”. I have tremendous respect for the editor that composed this response (I’m not being sarcastic – I know the individual and would classify this person as a friend). I assume therefore that some type of software glitch occurred, which in itself raises concerns about how rejections are handled. But even then, my core concerns above – journal review as a knowledge growth and idea development process – are not addressed. And it’s not unique to this one journal. I think it’s endemic to the educational technology field.

Peer review via blogs

In contrast to the rather feeble review our article received, consider the quality and diversity of comments on this article I posted on this site last week. I do almost all of my article publishing on my elearnspace or connectivism site. It is very rare that I receive a similar quality of feedback from an academic journal. What is the future of peer review if it’s value to the author and the field is reduced due to time and quality of reviews? Is it any wonder that NBER is questioning peer review decline?

How do we develop reviewers?

How did you learn to do reviews? From informal discussion with peers, it seems that most people learn to do reviews by being thrown into the process. It might have started with reviewing a few papers for a conference or by being asked to sit on a journal editorial board. Regardless, it appears that most reviewers do not have formal “training” in conducting reviews. It’s a trial an error process, which places great responsibility on a journal editor to ensure reviews are well conducted.

It is both a privilege and a responsibility to review the best ideas of another member of the field. But it’s also a matter of personal reputation. Generally, depending on the review software, the editor will know who submitted the review. I find it personally satisfying to be invited to repeat conference and journal reviews based on effort put into previous reviews. I know of many others who share these views. My views of peer review have been heavily shaped by “old timers” who appeal to high quality paper review processes for journals and conferences. I just wish there were more editors who saw scholarship as iterative and developmental and held journal reviewers to high standards. I also wish we had more reviewers who recognized the opportunity they have to advance quality within the educational technology field. After all, we jointly hold each others success in balance each time we sit down and start typing out a review.

What are your experiences? Misery, of course, appreciates company. Do you have any particularly nightmarish journal experiences (as author, editor, reviewer)? Or do you agree with my assertion that journals should serve to develop ideas, not solely evaluate?

Change that prevents real change

August 20th, 2009

I’m quickly turning into a curmudgeonly whiner.

Last week I was busy complaining about the flaws in existing open education models and how current activities a) fail to give educators a seat at the policy/power table and b) will, in the long run, hurt the socially conscious ideals many reform advocates strongly support.

If we are to have change, we might as well have the right kind of change. If we are going to expend energy envisioning a new world of education, we might as well be bold, creative, and future-focused. After all, good change and bad change require roughly the same amount of effort. Might as well pursue the highest ideals we are capable of forming.

All ideas need critique. When I encounter a new concept such as Flatworld Knowledge or open educational resources in general, I soon turn to exploring the critiques. If critiques are not available, I (naturally) wonder why. Not many things are “all good”. With connectivism, for example, I’ve sought out and highlighted people who disagree with what I’ve written on the subject. A theory or concept is only as good as the rigor to which it has been subject.

Let’s talk publishing.

Last year, with much attention, Flatworld Knowledge announced a new approach to textbooks.

I’ll start nitpicking: I don’t like the term Flatworld. As a concept it is obviously tied to Friedman’s text and has the air of hype. When I hear flat world references, I become critical of attached concepts. Why build a company on a buzzword that has been aptly criticized by Richard Florida? But this is a petty complaint. If the company is innovative and offers a new model, the name isn’t that consequential. Eventually it’ll be reduced to FWK Publishing (i.e. the KFC approach – when “fried” food became a health concern, the initials will do just fine).

But is the approach innovative?

On the surface, it appears to be. Learners can read the textbook online (though in an intentionally small window that makes reading unpleasant), or – for a fee – download for-print and audio versions as well as purchase a physical copy. Educators can customize (still in beta with the text I tried) textbooks by rearranging chapters and sections and adding annotations.

FWK textbooks are written by experts. Educators adopting texts can be reasonably assured of quality. Authors get paid. Students get a low cost text. Everyone wins. I think it’s a great model and I think it will succeed. More publishers will adopt this model. It’s almost inevitable.

But FWK will succeed for the wrong reasons. It will succeed because it tweaks the existing model of textbooks just enough to disrupt publishers, but not enough to disrupt the industry as a whole. FWK is integrated into the system of education: authors, bookstores, faculty, and students. It uses existing reward metrics (recognition and a little bit of revenue for the author) and addresses the biggest complaint students have about textbooks: costs.

Essentially, the existing system is used as the infrastructure for FWK model. And that’s the problem. I don’t believe we need the publisher as a mediator.

What is and what ought to be

TMI: I grew up in a very religious community. As an immigrant to Canada, I was taught (by my parents and the broader church community) that progress was inherently bad. Technology – computers in particular – were leading us to the end times. I grew up without television, radio, and many of the worldly tools/devices available to my peers.

I don’t regret my upbringing. It forms who I am as a person. One church-inspired lesson that has always stuck with me is the way in which the greater good (idealism) is manifest in practical daily grinds. Jesus, for example, calls his followers to impossibly high standards in Matthew 5-7 (Sermon on the Mount). How can a human being possibly live up to that high a calling?

The high standards serve as a target. The Greek word for sin (Hamartano) means to “miss the mark”. The pursuit of highest standards is important, in this line of reasoning, for the people we become through the process of longing to attain high ideals, not for the standard itself.

Bringing my religious background together with my technological life produces a similar appeal for high idealism. Mark Pilgrim’s rant about open enough is instructive: we too often accept open enough resources out of convenience rather than out of long term considerations.

This is a central conflict in web 2.0 vs. open source. Web 2.0 has few of the ideals of the open source movement. For many users, this is fine – free is the desirable trait. Monetarily free is not without cost. When Google decides a product is no longer valuable, it shuts it down (Notebook, Jaiku, JotSpot). When financial conditions change, companies holding our data suddenly disappear.

With regard to educational reform, our thinking should be future-focused. What is the impact of FKW? Is there a better way? Can we reduce costs and promote openness in an anti-textbook model? What could that possibly look like?

Convenient Change vs Principled Change

When trying to change a complex integrated system that includes numerous stakeholders – such as universities – a seat is required at the power table. Higher education is integrated into national competitiveness strategies, democratic societies, and corporate success/viability. Multiple stakeholders require engagement with all stakeholders in order to craft change. Grassroots revolutions are not of sufficient momentum to transform universities. The system is too integrated (i.e. a networked integration – systems of systems) and serves too many roles to be changed from single tension points.

When trying to disrupt a field – such as happens regularly with technology (iPod, Google Docs) – a brilliant idea is sufficient in itself. While systems like textbook publishing are integrated, the integration is within the system itself, not with other systems.

That sounds counter intuitive. I’ll clarify. Textbooks are systemically integrated in that the relationship between author/publisher/teacher/student is linear. It’s not a network integration (systems of systems). The student needs the textbook only because the educator does. Loose networked integration means commitment to the process wanes as the product moves down the line. When authors no longer need textbook publishers, the game is over.

Google is a company that understands systemic integration quite well. The prospect that I will abandon Google for another service diminishes as my use of their offerings becomes more and more integrated (Android, Latitude, Docs, iGoogle, Gmail, Reader, search, Blogger). Integrated webs create committed (locked in?) customers. Linear integration – where each entity down the line depends only on decision of the previous entity and the connections are not mutually enforcing – produce weak loyalty. I’ll abandon an email client (Hotmail, Yahoo) for a better service if it’s not integrated with other software.

Time to tie a few of these ideas together: textbook publishing is a weakly integrated field. The model itself is ripe for innovation. FWK will be successful because it tweaks enough of the system to keep the linear integration in tact, but not enough to disrupt the field itself. Perhaps we should pursue a more visionary approach – one that is tied to high ideals and provides the greatest number of future options.

Change that preserves and extends future options

I like the Wikibook and Wiki Educator models.

An evaluation (.pdf) of Wiki Educator states the site produced “71 Book equivalents…during 1 January 2008 to 30 June 2009″. The drawback? These resources are not always coherent. Scientific American explores the challenges of the “everyone contributes” model: “While the real power of open-source textbooks, Bridges and others say, is being able to tap into the knowledge of the nation’s 3 million schoolteachers, a look at the recent crop of books suggests that’s not an accurate reflection of how educational content is being created. So far, the front-runners were typically written by just one or several authors…” (remember the We Are Smarter book initiative? The goal was to have many people write the text. It failed. In the end, traditional authorship (two authors, I believe) produced the book).

It appears that we value collaboration more in principle than we do in practice.

David Wiley suggests that the “wiki way” = poor quality. Why do we collaborate less than our rhetoric suggests…and when we do collaborate, produce resources of (arguably) lower quality?

Perhaps we produce lower quality resources through collaboration because we are not used to writing together. Perhaps it’s because the reward system encourages egoistic publication. Perhaps it’s human nature. I don’t think War & Peace would be the same quality resource if it had been written by a network. But I really don’t know that for sure. I don’t think it has been tried often enough to be found wanting. I think it has been left largely untried.

Simply stating that collaborative projects have to date not produced the quality of resources that has been produced under the traditional authorship model is not satisfactory. Benkler’s assertion that (.pdf) module granularity and integration challenges are antagonistic to the wiki model (p. 22) is valid (at least he added “at present” in his argument :) ). However, as a culture of remix takes hold beyond a few early adopters, it’s reasonable to expect granularity integration to be less restrictive than it currently is seen to be. Perhaps a move from tecno brega to edu-brega?

It’s too early to convincingly declare select-authorship models of textbooks to be superior to wiki-created textbooks. Or, if we do make the declaration (as Wiley, Benkler and others have done), we need to focus on understanding why. It seems wrong to declare that connected intelligence is not capable of achieving the same level of quality as individual intelligence.

The need for collaboration is amplified by the growing complexity of information. As Kress and Pachler (.pdf) have stated: “What we have here is a transition from a stable, settled world of knowledge produced by authority/authors, to a world of instability, flux, of knowledge produced by the individual.” Single author models are not capable of innovating rapidly enough, or for that matter, providing a broad enough perspective of a subject.

If scientific research, development of art and literature, the internet, and the web all attest to the value of integration/connection/collaboration, I’m inclined to suggest the problem is not with wiki-textbooks, but instead with how we are approaching them. Something is wrong in our model of implementation, not with the model of creation.

Final Thoughts

When I first started thinking on this subject, I was quite negative on FWK. Having reviewed their site and their model in more detail, I’m less extreme in my views. FWK is an important advancement for textbooks. Many students this fall will be rather pleased at the reduced costs (though the books on the site are primarily confined to business and finance – another drawback: mediators seek areas of highest return first) of FWK texts.

The concept is open enough to keep many revolutionaries at bay (isn’t that often the main intent of partial change? provide enough change to satisfy the slightly less peripheral agitators? Staged or transitional change often plays a negative role in this regard. Partial change now pushes substantial change into the future). The idea is good enough to make investors quite happy – see open textbooks gaining ground. In this regard, I wish FWK well. It is an important contribution.

Now, if we can just find a way to make the pursuit of highest ideals (open & collaboratively produced textbooks produced by communities/networks of vested participants in this case) as rewarding (or compelling) as the pursuit of ‘good enough’.

Here we are…there we are going

August 13th, 2009

I’m at Open Education 2009 in Vancouver. I’m enjoying the conference, in particular meeting up with many, many colleagues and friends. Much credit is due to the conference organizers: Scott Leslie, Chris Lott, Brian Lamb, and David Wiley.

A well-promoted pre-conference event included a dialogue with Stephen Downes and David Wiley (recordings – all six hours – can be accessed here). I wasn’t able to attend the session, but managed to catch a good portion of it via ustream. The conversation covered a large landscape: roles of teachers, self-directed learning, copyright, creative commons licenses, the role of liberal education in society, etc.

Reactions to the event varied (here and here). Open educational resources (OERs) are shifting to mainstream. When you have two early leaders (Wiley and Downes) the conversation can be expected to include a mix of idealism, philosophy, and technical details. My sense, as I listened to the presentation, was that the conversation needs to morph to better account for the interests of those who are only now entering the world of OERs. Downes and Wiley were largely speaking to “their own” – a group that is shrinking as a percentage of those who are interested in OERs.

Time to whine

I’m increasingly dismayed at the quality of thinking with regard to educational reform. OERs are, rightly I think, tied to reform. Opening up content is only a starting point. What does higher education look like when all content is freely available? Which systems of instruction and learning will we need to change? What will accreditation look like? The quality of discussion on this topic is not in proportion to the weight of the subject. I hear too many references to pop-psychology thinking (and am then accused of being elitist).

The importance of university reform should call us to do our best thinking.

But, what is the response by our community and quasi-researchers like Don Tapscott (see The Impending Demise of the University)?

Primarily rhetoric with a blend of nonsensical proclamations. Universities aren’t going anywhere. They are not going to disappear. Recent UNESCO (here and here) and World Bank publications (here) speak to the centrality of universities in international competitiveness.

Governments look to universities as the first pledge to participating in a knowledge economy. When governments want solutions to the big problems facing humanity, they turn to universities: global warming, H1N1, youth crime, addiction, nanotechnology, AIDS crisis, intolerance, and many others.

Are learners numbers decreasing? No. Higher education enrollment is steadily increasing (currently over 150 million). The next billion people to earn a degree will do so largely in universities and they will largely be from developing countries.

Universities – especially as research institutions – are centrally integrated structures, vital to democratic societies. They are staying.

What about the teaching dimension? Can the teaching function of universities be replaced by social networks, communities and alternative accreditation models? Absolutely. And, to a degree, it’s inevitable.

Managed and organized? Or chaotic, loosely joined?

During a lunch discussion on policy, the challenges were made clearer to me. Two views were presented: work within the existing system or create a secondary system. This tension is one that I’ve felt for quite a while (see this article from 2003), but it seems to be intensifying.

I would love to see courses more become more distributed and fragmented. Current conceptions of courses should be destabilized (or have a look at the online conference we hosted earlier this year: From Courses to Dis/Course). Classroom walls are useless.

Learning consists of weaving together coherent (personal) narratives of fragmented information. The narrative can be now created through social sensemaking systems (such as blogs and social networks), instead of centrally organized courses. Courses can be global, with many educators and participants (i.e. CCK08).

Courses, unlike universities, are not directly integrated into the power system of a society. Can decentralized networks of autonomous agents serve the same function as organized institutions?

But who loses, and what is lost, if the teaching role of universities decline?

Surprisingly, those people who are most active in advocating for the demise of the universities are the ones who will lose the most if it actually happens. I can’t provide exact statistics (though I know they exist), but liberal arts education is in decline – with the odd bump in increased enrollment, followed by decline again. Engineering, science, and technology have more funding and momentum than humanities and social sciences. Our world is becoming one of numbers, algorithms, and data. And of utilitarianism. Research=commercialization.

The biggest loser in the demise of universities would be socialism. I recognize that this sounds inherently contradictory – i.e. how can giving individuals control possibly equate with a loss of control collectively? Socially conscious thinking flourishes in universities like it does in no other public venue. The utilitarian focus of corporations has little tolerance for the more speculative discourse that occurs withing universities.

If universities are largely reduced to research institutions, the power balancing role of universities will suffer. Society is upheld by numerous pillars: government, religion, business/economics, and education. I’m not yet convinced that fragmenting the education pillar will result in a stronger, more just, more sustainable society. And, I am reluctant to support the notion that the remaining pillars of society will be able to absorb the pivotal role that universities currently serve.

Societies power pillars listen to each other. To have a seat at the table is to have a voice in policy and to have a greater prospect of influence. The argument can be made that government is comprised of people and therefore the values of a society will be preserved through democratic elections. So, even if education as an institution becomes distributed and fragmented, the will of the people will be reflected through general elections.

This view reflects a very idealistic orientation and largely ignores human nature. Many information structures are fragmenting – newspaper, music, movies – and many reform advocates suggest that distributed networks can do what organized structures have done in the past (such as Second Superpower Rears its Beautiful Head and through the network (of networks)). But the Second Superpower did not stop the war in Iraq. And the fifth estate Dutton proclaims has not yet proven itself to be sustainable other than for event-based functions – such as electing Obama. Once the task is done, the networks focus shifts. Obama would really like his network back now, I imagine, as he tackles health care reform. But the network arose only to serve a task (elect Obama). The constellation of factors required to activate the network to reform health care has not yet emerged. Hierarchical “government as usual” will have to attend to health reform.

The virtues that a society finds desirable are systematized in its institutions. However futile this activity, it helps society, and media, to hold people accountable, to devise strategies, and create laws so people feel safe. Similarly, results that are desirable (financial, educationally, etc) are systematized to ensure the ability to manage and duplicate results. I shared some thoughts on this systematization last year as a reason for the currently limited impact of personal learning environments (PLEs). Quite simply, even revolutionaries conserve.

Capitalism needs Marx

I have not encountered an effective and considered response to OERs. It’s not a situation where everyone wins. Openness has costs. Capitalism needs a Marx. Russell (or more broadly, philosophy) needs a Wittgenstein. OERs currently suffer from cute kitten syndrome – it seems almost unethical to have a negative stance. Scott Leslie has captured a few existing critiques, but I’d like to see greater analysis of impact. And to shift the discussion from “things are changing” to analysis of “what we are becoming”.

/Time to whine

I support openness. I support OERs (though I think the “resources” focuses too much on content and ignores the pedagogical dimensions of connecting with other learners). The research role of universities, due to its integration with government and policy, will morph and change, but will not disappear. Teaching is what is most at risk. Can a social network – loosely connected, driven by humanistic ideals – serve a similar role to what university classrooms serve today? I hope so, but I don’t think so. At least not with our current mindsets and skillsets. We associate with those who are similar. We do not pursue diversity. In fact, we shy away from it. We surround ourselves with people and ideas that resonate with our own, not with those that cause us stress or internal conflict.

Secondly, until all of society becomes fully networked (not technologically networked, but networked on the principles of flows, connections, feedback), a networked entity always risks being subverted by hierarchy. Today, rightly or wrongly, hierarchy holds power in society.

Connectivism and Connective Knowledge – 2009

July 27th, 2009

Quick announcement: We (Stephen Downes and I) are again offering Connectivism and Connective Knowledge in September 2009. Sign up for the non-credit version of the course here. If you are interested in taking the course for-credit as part of University of Manitoba’s Certificate in Emerging Technologies for Learning, more information is also available.

Challenges faced by African Universities in technology integration

May 26th, 2009

“Social Networking Technologies for Teaching and Learning Transformation”

(Live notes, errors likely exist)

Overview of the project

The workshop (two day face-to-face workshop in Dakar, Senegal…with Day 2 also offered as an eLearning Africa workshop) was offered by University of Manitoba and the Association of African Universities. I delivered the face-to-face workshop with Kathleen Matheos (Associate Dean, Extended Education, University of Manitoba). Open Society Initiative for West Africa sponsored the event. The second aspect of the grant will be a 12 week online course with educators and leaders from African Universities.

The 12 week course has three objectives:

  1. Review emerging technologies and affordances they generate
  2. Create and share institutional and national learning technology integration strategies
  3. Plan and implement a sustainable forum for African educational leaders to engage with each other on innovative policies, procedures, and advocacy

Day One: Strategic Planning

Day One of the workshop addressed the theme of strategic planning and challenges for university leaders.

We delivered the following presentation: Ten Principles of Learning Technology Integration.

The following image presents the distinction between emerging technologies and LMS in terms of innovation and systematization.

et_lms

…and the image below is a discussion of the system support needed for online learning: technical infrastructure, cognitive infrastructure, and systemic reform:

systemic_change1

And, as a model of planning at a systems level, I presented the following model:

strategy

An African Perspective on Challenges

We asked members attending the workshop about “the challenges educational leaders face in African Universities. The following is a brief summary of their input.

Group 1:

  • Political commitment is most important (leaders to be dedicated to introduce technologies in education…political will can address problem of institutionalization).
  • Infrastructure – needs to be addressed.
  • Human resources – training of new faculty (upgrading skills)
  • Funding of educational institutions: need for governments to review the budget and engage in income generating activities and provide services and resources
  • Partnership issues: internal and external (corporations). This must be addressed upfront
    Incentives: people may not be motivated to implement ICT (not interested in the challenges and overcoming challenges). When you ask a staff member to put a course online, he/she will say “I’ll put it online, for what purpose? Am I not losing my advantages? Am I going to have allowances for extra hours? Now that I have my course online, everyone has the course…people will not need me anymore and I’ll get fired”. They should feel part of a big hole. These faculty should set up, with peers, a strategy for development of the institution. University should be an instrument for development. The elements within the university should generate its own resources, and create a system for revenue generation and knowledge development

Group 2:

Four parts:

  1. Policy level: existing problems include stakeholders requiring policies to bring on board actors. The existence of legal texts should be developed (policy & procedures issues) so staff and students can relate themselves to the system. Once the system is put into place, there is need to evaluate the students. How can we put tech into place in order to grant degrees that study online.
  2. Infrastructure: there is instability in the energy sector. We need energy to make this infrastructure work. We need a permanent and reliable energy. Also a problem of computer equipment. In our country we don’t have enough computer equipment. Problem of budget and financial resources. Connectivity: we need good connectivity, and we don’t have it. It is very difficult for us to connect ourselves to the internet and put courses online and have everyone participate. Physical premises are also a problem (air conditioning)
  3. Training: technicians need to be better trained on how computers should be installed and maintained. We have a serious problem of maintaining it. Multimedia use is also important – staff need to be interested in using this. We also need students and staff trained. It is a whole system
  4. Content development: we need software tools for online education. Our stuff should use software so as to put courses online and finally create content. Staff should be trained on this. This should help us continue to use ICT online.

Partnership and networking: I believe that Côte d’Ivoire – we are interested in networking – first with ourselves and then with other countries and even outside of Africa. But, the infrastructure is inadequate, we can’t do that now unless we have good partners. African Virtual Campus is being put into place. But you need a minimum before you can network with others. The policy of using technologies by brought in by individual countries what remains should follow.

The need for networking for West African Universities: Networks for Excellence…(missed exact name). There is a genuine need for networking for training, libraries, faculty. LMD (licensed, masters, doctorate) programs need support with technologies. The need is there. But the means and resources are lacking.
Counter point: Is the will to network really there. We sometimes see networking between Europe and Africa, but not Africa to Africa. Sometimes we have concerns even within the country. We are doing less mentoring.

The main problem is that people just allows us to have access to information, but not to share (high school response). People want to download music, but they don’t want to share. You can’t talk about networking without talking about sharing. We need a mentality change: be willing to share information.

Online vs. F2f: is there an acceptance/accreditation problem between the modes? When courses are provided with elearning, we cannot get the degree validated sometimes. Commerce should validate elearning before we do.

If the university organizes with teachers and elearning, it’s clear that the degree will be easier to get. But if the student should receive training elsewhere, it becomes more complicated. We don’t have “legal texts” that allow us to validate elearning degrees. If the university accredits it, faculty should as well.
Accreditation is a problem for each institution. A big problem in Africa – if we have a university who partners with others – would universities accept each other’s degrees?

In Africa, we talk too much about resources. We need to talk more about inter-continent partnerships. If we have partnerships, why don’t we open up more to each other.

When we have the opportunity to meet in various forums, we should make sure that we understand that elearning is not cheaper training. We need to make our degrees more credible. We have to really stress the point of building bridges between residential and online courses.
Group 3: (Group of 3 countries): Ghana, Nigeria, Kenya

Planning and technology challenges for universities executives and leaders:

Resistance to change: fear, ignorance of benefits, unwillingness to change – this is a big challenge for leaders.

National ICT policies often do not favour the educational sector. Resources are not adequately channelled into elearning. We have frequent educational changes in policy, so it makes planning difficult. Government changes result in changes in policy, which makes it difficult.

Where policies exist, there is often bad implementation. No enforcement of policies exists. No adequate incentives (such as technical support) and motivations exist to drive policies. Staff do not have adequate time to develop online content. ICT policies cannot be implemented due to work load. Monetary incentives do not exist, and quality assurance processes are not in place. For example, policy of staff development should be done on a gradient and tracked.

Low level of knowledge of technology by leaders. This produces reluctance to implement technologies.
Resources are limited. We don’t have adequate skills around pedagogy and ICT skills.
Inadequate infrastructure, low bandwidth, access, and energy (human and infrastructure is low).
It boils down to habit. There is a human element: people find it difficult to change. Do we need to motivate through coercion?

Group 4:

Group of 4 countries, Cameroon, Ghana, Senegal, Congo.

Each country has a different context. Senegal, we don’t have a problem with connectivity. But we have a problem of content. Our elearning platforms are empty. Congo has a problem of connectivity, but they don’t lack content.

  • Content quality is also a concern. We discussed using MIT OCW, for French-speaking countries, this is a problem. Should we translate? Or should we use from French universities. Only a few French-speaking universities post content. But it is not up to the level of quality by MIT. Content is not necessarily suited to local context. MIT courses are not suited to cultures that don’t have a scientific culture.
    Courses and content should be well done and well structured. We should realize that the student is not in front of us in elearning. Students learning online may be sitting all alone, so pedagogy should be attractive and suitable to the experience. Students should not be bored by the content.
  • Motivation & incentives: generally, teachers and researchers in African universities are highly motivated in publishing research articles because it helps their careers. Developing elearning content does not offer this motivation. They don’t see how developing elearning will contribute to their university career. Should universities pay for content development as an incentive? Or pay a bonus (such as research bonus in some universities)? Content development should also contribute to promotion.
  • What should be done to introduce elearning effectively in universities. Generally, there is no strategies put into place. There is also a problem of research. They are used to research (i.e. they are trained to write research papers). But for elearning, there is no training…but they do not have the skills or institutional strategy/support for elearning development. The background and support does not exist for people to do this. Universities should create a plan to support people in developing resources. Training should be continuous. A structure of support is needed that rewards elearning such as how research is rewarded

Online Guests at the Workshop

We brought in two guests (we had solicited several others to present, but schedules didn’t work, hence the prominence of the male gender) via Skype to comment on their experiences with emerging technology.
Peter Tittenberger, Director, LTC at University of Manitoba.

Peter shared his experiences in two generations of technology integration:

  1. Late 90’s/early 2000’s as University of Manitoba moved to WebCT. This period was somewhat grassroots-driven. The university systematized LMS procedures after faculty interest in learning technologies was of sufficient level to warrant adoption and planning. The formal structure of this stage of technology use informs much current systemic thinking
  2. Emerging technologies of the lasts several years have influenced educational approaches. At this stage, freedom has been given to learners. Personal control afforded by emerging technologies competes with the mandate of Computer Services to protect user data and restrict access to those who are enrolled or have suitable permissions.

Personal reflection: Most universities do not have a strategic view of emerging technologies. This is partly due to the rapid change in society and technology. However, the lack of response to what is now a ten year trend, seems to be a failure of current policy approaches. A system is needed that is more adaptive and better integrated with the context of society today.

Terry Anderson, Canada Research Chair, Distance Education, Athabasca University.

Terry addressed two themes:

  1. The internet is a disruptive force that alters existing practice in education. Open educational resources, self-directed learning, learner control, etc. are innovations in content and information access. Equally important, the internet has recently seen a shift to conversation and interaction instead of only content provision.

  2. Athabasca uses a self-directed learning model in many faculties. In order to increase access to learning opportunities, open enrollment is offered. This freedom comes with a cost. Students are often not able to interact with each other when self-directed in distance/online education. Terry (and AU) is actively involved in researching how social network technologies can be utilized for connecting learners that may have similar profiles and interests, but are at different stages in their learning path.