{"id":311,"date":"2026-09-17T15:57:16","date_gmt":"2026-09-17T15:57:16","guid":{"rendered":"https:\/\/www.connectivism.ca\/2026\/09\/17\/what-is-the-scholarship-of-teaching-and-learning-and-how-does-it-work-in-elearning\/"},"modified":"2026-09-17T15:57:16","modified_gmt":"2026-09-17T15:57:16","slug":"what-is-the-scholarship-of-teaching-and-learning-and-how-does-it-work-in-elearning","status":"publish","type":"post","link":"https:\/\/www.connectivism.ca\/2026\/09\/17\/what-is-the-scholarship-of-teaching-and-learning-and-how-does-it-work-in-elearning\/","title":{"rendered":"What Is the Scholarship of Teaching and Learning (and How Does It Work in eLearning)?"},"content":{"rendered":"<p>The Scholarship of Teaching and Learning (SoTL) is a systematic, research-based approach to understanding and improving teaching and learning through inquiry, evidence collection, and knowledge sharing. Unlike traditional teaching practice or informal reflection, SoTL transforms pedagogy into an object of rigorous study, asking meaningful questions about student learning, analyzing data to answer them, and contributing findings to the broader educational community.<\/p>\n<p>For learning and development professionals in 2026, this framework offers something corporate training has long needed: a disciplined methodology for proving what works. While higher education has championed SoTL for decades, its principles translate powerfully to workplace learning, where design thinking meets evidence-based practice. When you apply SoTL to corporate eLearning, you&#8217;re not just creating courses or tracking completion rates. You&#8217;re systematically investigating how adults learn in organizational contexts, testing interventions against measurable outcomes, and building a body of knowledge that elevates L&amp;D from service function to strategic partner.<\/p>\n<p>The timing matters. Business leaders increasingly demand ROI data and learning analytics, not anecdotal success stories. SoTL provides the intellectual infrastructure to deliver that proof while simultaneously improving learner outcomes. It aligns naturally with Neurolearning principles, which rely on cognitive science research to inform instructional design. Both frameworks insist that teaching decisions should rest on evidence, not intuition or tradition.<\/p>\n<p>This article unpacks how SoTL works as a practical framework for corporate training professionals. You&#8217;ll discover what distinguishes scholarly inquiry from routine assessment, explore the core components that make SoTL investigations credible, and learn how to apply this methodology to real workplace challenges. The field operates under a &#8220;big tent&#8221; philosophy, welcoming diverse questions and methods, which makes it especially adaptable for organizations facing unique learning problems. Whether you&#8217;re redesigning onboarding programs or building leadership development pathways, SoTL gives you a repeatable process for turning teaching experiments into validated knowledge.<\/p>\n<div class=\"key-takeaway\"><strong>Key Takeaway:<\/strong> SoTL&#8217;s three pillars, asking focused questions about learning, reflecting systematically on practice, and collecting rigorous evidence, create a feedback loop that continuously improves eLearning design through measurable insights rather than guesswork.<\/div>\n<h2>What the Scholarship of Teaching and Learning Means for eLearning<\/h2>\n<figure class=\"wp-block-image size-large\">\n        <img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/www.connectivism.ca\/wp-content\/uploads\/2026\/09\/collaborative-corporate-training-session.jpeg\" alt=\"A diverse group of corporate learners collaborating in a training room during facilitation discussion.\" class =\"wp-image-307\" srcset=\"https:\/\/www.connectivism.ca\/wp-content\/uploads\/2026\/09\/collaborative-corporate-training-session.jpeg 900w, https:\ \www.connectivism.ca\wp-content\uploads\2026\09\collaborative-corporate-training-session-300x171.jpeg300w, collaborative-corporate-training-session-768x439.jpeg 768w\"sizes=\"auto,(max-width:900px)100vw,900px\"><figcaption>A collaborative learning session highlights how inquiry and evidence-minded discussion fit naturally into corporate eLearning.<\/figcaption><\/figure>\n<p>The Scholarship of Teaching and Learning is a systematic, research-based approach to understanding and improving how people learn. Rather than relying on intuition or convention alone, SoTL practitioners ask meaningful questions about their learners, gather evidence about what works, and share what they discover with others. Think of it as treating your training programs like a laboratory, you design with intention, observe what happens, measure the results, and refine based on what you find.<\/p>\n<p>For corporate learning professionals, SoTL provides a practical framework for moving beyond &#8220;this is how we&#8217;ve always done it&#8221; toward &#8220;here&#8217;s what we tested, here&#8217;s what we learned, and here&#8217;s what we&#8217;re doing differently now.&#8221; It shifts the focus from simply delivering content to investigating whether that content actually drives the outcomes your organization needs. When you apply SoTL principles to eLearning design, you&#8217;re not just building courses, you&#8217;re conducting ongoing research into how your employees learn best and using that knowledge to improve every subsequent program.<\/p>\n<p>The field operates under what practitioners call a &#8220;big tent&#8221; philosophy, which means there&#8217;s room for inquiry at every level. You don&#8217;t need a PhD or a dedicated research team to practice SoTL. An onboarding manager who tests two versions of a compliance module and tracks completion rates is doing SoTL work. So is a leadership development specialist who interviews participants six months after a program to understand long-term behavior change. The big tent welcomes anyone willing to ask honest questions about learning and seek evidence for answers.<\/p>\n<dl>\n<dt>Systematic Inquiry<\/dt>\n<dd>Approaching learning design with specific questions and structured investigation, rather than making assumptions about what works. In eLearning, this might mean testing whether microlearning bursts outperform traditional modules for your specific audience.<\/dd>\n<dt>Evidence-Based Practice<\/dt>\n<dd>Making design decisions grounded in data collected from your learners, not just industry trends or vendor promises. Your analytics, surveys, and performance metrics become the foundation for what you build next.<\/dd>\n<dt>Dissemination<\/dt>\n<dd>Sharing what you discover with colleagues, your organization, or the broader L&amp;D community so others can benefit from your findings. This creates collective knowledge that lifts the entire field.<\/dd>\n<dt>Scholarly Teaching vs. SoTL<\/dt>\n<dd>Scholarly teaching means staying current with research and applying best practices. SoTL goes further: you generate new knowledge by investigating your own practice and contributing insights to the field.<\/dd>\n<\/dl>\n<p>In corporate eLearning, SoTL becomes your path to demonstrating ROI with substance. Instead of pointing to completion rates, you can show how a specific instructional approach improved retention by 40 percent, or how redesigning onboarding based on learner feedback cut time-to-productivity. You&#8217;re building a body of evidence that proves your training programs work, and proving you know why they work.<\/p>\n<h2>How the SoTL Framework Works in Practice<\/h2>\n<h3>Asking the Right Questions About Learning<\/h3>\n<p>The foundation of effective SoTL work lies in asking meaningful questions that address genuine challenges in your learning environment. Rather than broad inquiries like &#8220;Is this training effective?&#8221;, focus on specific, actionable questions that can be answered through observable evidence.<\/p>\n<p>For employee onboarding, you might ask: &#8220;Do new hires who complete interactive scenario-based modules demonstrate higher retention of company policies at 30 days than those who complete text-based courses?&#8221; In compliance training contexts, consider: &#8220;Which microlearning format results in better procedural recall when employees encounter real-world situations three months after certification?&#8221; For skill development programs, try: &#8220;What specific design elements reduce the time employees need to apply new software skills independently on the job?&#8221;<\/p>\n<p>The best questions emerge from real frustrations and gaps you&#8217;ve noticed in your programs. They should be narrow enough to investigate with available resources yet significant enough to improve outcomes. Frame questions that focus on learner behavior and performance rather than satisfaction scores alone. When your question points directly to evidence you can collect and decisions you can make, you&#8217;ve found fertile ground for meaningful inquiry.<\/p>\n<h3>Gathering and Analyzing Learning Evidence<\/h3>\n<figure class=\"wp-block-image size-large\">\n        <img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/www.connectivism.ca\/wp-content\/uploads\/2026\/09\/learning-evidence-analytics-desk.jpeg\" alt=\"Desk setup with a laptop and tablet showing an unlabeled analytics-style screen in corporate learning context.\" class =\"wp-image-308\" srcset=\"https:\/\/www.connectivism.ca\/wp-content\/uploads\/2026\/09\/learning-evidence-analytics-desk.jpeg 900w, https:\ \www.connectivism.ca\wp-content\uploads\2026\09\learning-evidence-analytics-desk-300x171.jpeg300w, learning-evidence-analytics-desk-768x439.jpeg 768w\"sizes=\"auto,(max-width:900px)100vw,900px\"><figcaption>Learning evidence can come from digital signals and feedback, supporting data-informed improvements in eLearning design.<\/figcaption><\/figure>\n<p>Evidence in corporate eLearning takes multiple forms, each revealing different aspects of the learning experience. Learning analytics provide quantitative data on completion rates, time on task, assessment scores, and navigation patterns through your LMS. These metrics show what is happening but rarely explain why. That&#8217;s where qualitative evidence becomes essential.<\/p>\n<p>Qualitative methods, surveys, focus groups, one-on-one interviews with learners, and observations of how employees apply new skills, capture the context analytics miss. A compliance module might show 95% completion, but exit interviews could reveal learners clicked through without genuine engagement or understanding.<\/p>\n<p>The analysis phase demands you look for patterns across both data types. When onboarding completion drops at module three, pair that metric with learner feedback. Are instructions unclear? Is the cognitive load too high? Does the content misalign with actual job tasks? Triangulating multiple evidence sources produces richer insights than any single method.<\/p>\n<p>Don&#8217;t analyze in isolation. Share preliminary findings with instructional designers, subject matter experts, and a sample of learners themselves. Their perspectives often surface explanations you hadn&#8217;t considered. The goal isn&#8217;t perfect data, it&#8217;s actionable understanding that drives specific improvements to how people learn in your organization.<\/p>\n<h3>Sharing Insights to Build Learning Communities<\/h3>\n<figure class=\"wp-block-image size-large\">\n        <img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/www.connectivism.ca\/wp-content\/uploads\/2026\/09\/sharing-learning-insights-blank-pages.jpeg\" alt=\"Hands releasing blank pages into the air in a sunlit meeting room to symbolize sharing learning insights.\" class=\"wp-image-309\" srcset=\"https:\/\/www.connectivism.ca\/wp-content\/uploads\/2026\/09\/sharing-learning-insights-blank-pages.jpeg 900w, https:\\www.connectivism.ca\wp-content\uploads\2026\09\sharing-learning-insights-blank-pages-300x171.jpeg 300w, sharing-learning-insights-blank-pages-768x439.jpeg768w\"sizes=\"auto,(max-width:900px)100vw,900px\"><figcaption>Sharing findings turns individual learning insights into community knowledge that can improve future practice.<\/figcaption><\/figure>\n<p>Sharing isn&#8217;t a courtesy in SoTL, it&#8217;s a defining feature. When you document what worked (or didn&#8217;t) in your onboarding redesign or compliance module, you contribute evidence the broader field can use. That&#8217;s how corporate learning evolves beyond guesswork.<\/p>\n<p>The dissemination component pushes you to move findings outside your team. Write a blog post summarizing your A\/B test results. Present at an internal L&amp;D summit. Submit a case study to an industry publication or join a practitioner forum. The format matters less than making your work public and peer-reviewed, even informally. Sharing exposes your assumptions, invites challenge, and surfaces patterns you might miss in isolation.<\/p>\n<p>This communal exchange mirrors design thinking&#8217;s collaborative ethos. When multiple organizations test similar interventions and report outcomes, you build a shared knowledge base that strengthens everyone&#8217;s practice. You stop reinventing solutions and start refining proven approaches. It also fosters psychological safety, normalizing the reality that not every learning experiment succeeds, but every rigorous attempt teaches us something. Treat dissemination as integral to the inquiry cycle, not an optional final step, and you&#8217;ll accelerate improvement across your organization and beyond.<\/p>\n<h2>Core Components of a SoTL Approach<\/h2>\n<figure class=\"wp-block-image size-large\">\n        <img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/www.connectivism.ca\/wp-content\/uploads\/2026\/09\/learner-reflection-notes.jpeg\" alt=\"Close-up of a learner taking notes with stylus while studying course materials in training setting.\" class =\"wp-image-310\" srcset =\"https:\/\/www.connectivism.ca\/wp-content\/uploads\/2026\/09\/learner-reflection-notes.jpeg 900w, https:\ \ www.connectivism.ca\wp-content\uploads\2026\09\learner-reflection-notes-300x171.jpeg300w,learner-reflection-notes-768x439.jpeg 768w\" sizes=\"auto,(max-width:900px)100vw,900px\"><figcaption>Close, hands-on reflection supports the idea that SoTL begins with noticing what\u2019s happening in learning experiences.<\/figcaption><\/figure>\n<p>At its core, the Scholarship of Teaching and Learning rests on three interconnected pillars that transform teaching from instinct-driven practice into disciplined inquiry. These components, inquiry-driven investigation, systematic reflection, evidence collection, and public dissemination, work together to create a framework that mirrors design thinking&#8217;s human-centered approach while grounding decisions in measurable outcomes.<\/p>\n<p><strong>Inquiry-Driven Investigation<\/strong><\/p>\n<p>SoTL begins with curiosity translated into researchable questions. Rather than accepting conventional wisdom about &#8220;what works,&#8221; practitioners ask specific questions about their learners&#8217; experiences: Why do some employees struggle with a particular module while others breeze through? What conditions enable knowledge transfer from training to workplace application? These questions aren&#8217;t abstract academic exercises, they&#8217;re focused investigations into real learning challenges your organization faces. The inquiry component aligns perfectly with design thinking&#8217;s empathy phase, where we seek to understand the learner&#8217;s actual needs rather than our assumptions about them.<\/p>\n<p><strong>Reflection on Practice<\/strong><\/p>\n<p>The second pillar involves deliberate, structured reflection that goes beyond casual observation. SoTL practitioners examine their teaching decisions, learner responses, and outcomes through a critical lens. This means documenting what happened, analyzing why it happened, and considering alternative approaches. In corporate eLearning, this might involve reviewing completion rates alongside learner feedback to understand not just that a module performed poorly, but why it failed to engage. This reflective component parallels design thinking&#8217;s iterative prototyping, testing, learning, and refining based on real-world feedback.<\/p>\n<p><strong>Systematic Evidence Collection<\/strong><\/p>\n<p>Effective SoTL work demands rigor in gathering data. This doesn&#8217;t require laboratory conditions, but it does mean moving beyond anecdotal impressions to collect meaningful evidence through learning analytics, pre- and post-assessments, qualitative interviews, or performance metrics. The key word is &#8220;systematic&#8221;, creating replicable methods that produce reliable insights about what&#8217;s genuinely improving learning outcomes versus what merely feels effective.<\/p>\n<p><strong>Public Dissemination<\/strong><\/p>\n<p>The final component distinguishes SoTL from private professional development: sharing findings publicly so others can learn from your work. In corporate contexts, this might mean presenting at internal learning summits, contributing to L&amp;D communities of practice, or publishing case studies. This dissemination builds collective knowledge, prevents others from repeating failed approaches, and invites feedback that strengthens your own practice. It embodies the &#8220;big tent&#8221; philosophy of SoTL, welcoming diverse voices and perspectives to advance the entire field of learning design.<\/p>\n<p>Together, these components create a continuous improvement cycle that transforms good training into evidence-based excellence.<\/p>\n<h2>Where SoTL Applies in Corporate eLearning<\/h2>\n<p>The Scholarship of Teaching and Learning framework transforms everyday corporate training challenges into systematic opportunities for improvement. Rather than relying on assumptions about what works, L&amp;D professionals can apply SoTL principles to investigate, measure, and refine their programs across multiple domains.<\/p>\n<p>Consider <a href=\"https:\/\/www.connectivism.ca\/2024\/07\/11\/how-to-onboard-new-employees-the-right-way\/\">employee onboarding<\/a> where most organizations struggle with information overload and early-stage disengagement. A SoTL approach starts with a specific question: &#8220;Does spacing onboarding content across the first 90 days improve retention compared to front-loading everything in week one?&#8221; By tracking completion rates, knowledge assessments at 30 and 90 days, and time-to-productivity metrics, you gather concrete evidence. One financial services firm discovered that their compressed onboarding led to 40% knowledge decay by month two, prompting a redesign that distributed learning touchpoints and reduced turnover by 18%.<\/p>\n<ul>\n<li>Onboarding optimization through spaced repetition and cognitive load management<\/li>\n<li>Compliance engagement by measuring actual behavior change, not just completion rates<\/li>\n<li>Skill transfer verification in technical training using workplace application tracking<\/li>\n<li>Leadership development assessment through 360-degree feedback and decision-making simulations<\/li>\n<li>Custom solution validation for culture change and transformation initiatives<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.connectivism.ca\/2024\/07\/15\/revolutionize-vaping-compliance-training-with-neurolearning-techniques\/\">Compliance training<\/a> presents another fertile ground for SoTL inquiry. Instead of accepting the standard click-through-and-test model, ask whether scenario-based learning produces better workplace application than information dumps. A manufacturing company tested two groups: one received traditional compliance modules while another worked through branching scenarios mirroring real job situations. Six months later, audit findings showed 62% fewer violations in the scenario group, demonstrating that how we teach compliance matters as much as covering the required content.<\/p>\n<p><a href=\"https:\/\/www.connectivism.ca\/2026\/07\/30\/corporate-leadership-training-programs-what-they-are-and-how-they-drive-organizational-success\/\">Leadership development programs<\/a> often operate on faith rather than evidence. SoTL methodology challenges this by investigating which interventions actually shift leadership behaviors. A retail organization wondered if their expensive off-site retreats produced lasting change. They introduced pre- and post-program 360-degree assessments plus six-month follow-ups measuring specific behaviors like delegation frequency and feedback quality. The data revealed that retreat insights faded without structured application support, leading them to add peer coaching circles that sustained behavioral changes.<\/p>\n<p>Technical skills training benefits when we move beyond completion metrics to examine actual capability transfer. A software company asked whether their asynchronous video tutorials enabled junior developers to complete real tasks independently. By tracking support tickets, code review comments, and time-to-competency benchmarks, they discovered that videos alone left knowledge gaps. Adding hands-on sandbox environments with immediate feedback reduced support requests by 35% and accelerated proficiency by three weeks.<\/p>\n<p>Culture change initiatives, often the most nebulous training efforts, gain clarity through SoTL&#8217;s evidence-based lens. When implementing new values or ways of working, specific inquiry questions like &#8220;Do manager-led discussions change employee perceptions more than top-down messaging?&#8221; produce actionable insights. One healthcare system measured perception shifts through pulse surveys and observational data, finding that small-group dialogue sessions created 2.5 times more attitude change than email campaigns alone.<\/p>\n<h2>Connecting SoTL with Design Thinking and Neurolearning\u2122<\/h2>\n<p>The SoTL framework doesn&#8217;t exist in isolation from other evidence-based methodologies. In corporate eLearning, it intersects powerfully with design thinking and Neurolearning\u2122, creating a comprehensive approach to learning improvement that&#8217;s both human-centered and scientifically grounded.<\/p>\n<p>Design thinking&#8217;s empathy phase mirrors SoTL&#8217;s foundational step of asking meaningful questions about learning. When you observe learners struggling with a new system or interview employees about training gaps, you&#8217;re conducting the same inquiry-driven investigation that SoTL demands. The ideation phase aligns with hypothesis formation, what changes might improve outcomes? Prototyping and testing in design thinking become SoTL&#8217;s evidence collection cycle, where you implement interventions and measure their impact systematically rather than relying on intuition alone.<\/p>\n<p>Both frameworks share an iterative mindset. Design thinking iterates through user feedback; SoTL iterates through cycles of inquiry, evidence, and refinement. Neither accepts the first solution as final. A training designer using both approaches might prototype three onboarding modules, collect completion and comprehension data, and ask learners directly which format helped them retain information best. That&#8217;s design thinking informing the question and SoTL providing the evidence framework.<\/p>\n<p><a href=\"https:\/\/www.connectivism.ca\/2026\/08\/23\/10-principles-of-neuroplasticity-for-effective-elearning-design\/\">Neuroplasticity principles<\/a> elevate this intersection by shaping what we investigate and how we interpret findings. When SoTL asks &#8220;Does spaced repetition improve knowledge retention in compliance training?&#8221; it&#8217;s drawing directly from neuroscience about how the brain consolidates learning over time. Neurolearning\u2122 tells us which variables matter, cognitive load, emotional engagement, <a href=\"https:\/\/www.connectivism.ca\/2024\/11\/06\/revolutionize-your-training-top-interactive-review-games-for-business-learning-success\/\">retrieval practice<\/a> frequency, so our SoTL inquiries target mechanisms that genuinely affect learning rather than surface-level preferences.<\/p>\n<p>A compliance training redesign might use design thinking to empathize with time-strapped employees, apply SoTL methodology to test whether microlearning intervals improve retention, and ground both in Neurolearning\u2122 evidence about spaced practice and attention limits. The result isn&#8217;t just better training; it&#8217;s demonstrably better, with data showing why it works and transferable insights for your next project. This convergence transforms learning design from craft into disciplined inquiry.<\/p>\n<h2>Getting Started with SoTL in Your Organization<\/h2>\n<p>You don&#8217;t need a research department or a university affiliation to bring SoTL principles into your organization. Start by identifying one persistent challenge in your eLearning programs, maybe completion rates lag in compliance modules, or new hires struggle with specific onboarding concepts. Frame that challenge as a question: &#8220;What barriers prevent employees from completing our cybersecurity training?&#8221; or &#8220;Which onboarding activities correlate with faster time-to-productivity?&#8221; Pick something small enough to investigate without derailing your regular workload.<\/p>\n<p>Once you&#8217;ve chosen your pilot question, decide what evidence you already have or can easily collect. Learning management system data, post-training surveys, manager feedback, and brief learner interviews all count as legitimate sources. You&#8217;re not conducting a formal academic study, you&#8217;re systematically examining what&#8217;s working and what isn&#8217;t. Set a realistic timeline, perhaps four to six weeks, to gather your data and spot patterns.<\/p>\n<p>The real power of SoTL emerges when you share what you discover. Create a simple one-page summary of your findings and present it at a team meeting or post it in your organization&#8217;s internal collaboration space. When other L&amp;D professionals see concrete evidence about what improves learning outcomes, you start building a culture where decisions rest on data rather than assumptions. This transparency also invites colleagues to contribute their own observations and test new approaches.<\/p>\n<p>Consider establishing a monthly SoTL learning circle where team members discuss ongoing investigations. These don&#8217;t need formal agendas, just fifteen or twenty minutes for someone to share a question they&#8217;re exploring or results from a recent pilot. This kind of community of practice reinforces that inquiry belongs to everyone, from instructional designers tackling <a href=\"https:\/\/www.connectivism.ca\/2024\/08\/04\/8-highly-effective-tips-for-remote-employee-training\/\">remote training<\/a> challenges to subject matter experts noticing unexpected learner struggles.<\/p>\n<p>The &#8220;big tent&#8221; philosophy of SoTL means there&#8217;s no gatekeeping. Whether you&#8217;re analyzing completion data from a single module or redesigning an entire curriculum based on learner feedback patterns, you&#8217;re contributing to a more evidence-based approach to corporate learning. Start where you are, use what you have, and build from there.<\/p>\n<h2>Common Questions About SoTL<\/h2>\n<p><strong>Common Questions About SoTL<\/strong><\/p>\n<p>As L&amp;D professionals consider how to bring SoTL principles into their corporate training programs, a few practical questions tend to surface. Here&#8217;s what you need to know about implementing this approach in your organization.<\/p>\n<div class=\"faq-section\">\n<div class=\"faq-item\">\n<h4>What&#8217;s the difference between scholarly teaching and SoTL?<\/h4>\n<p>Scholarly teaching means using research and evidence to inform your instructional design decisions, while SoTL involves conducting your own systematic inquiry into learning outcomes and sharing those findings publicly so others can benefit from what you&#8217;ve discovered.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>How much time does SoTL actually require?<\/h4>\n<p>You can start with small-scale inquiries that take just a few hours per month, asking one focused question about a single training module and collecting basic learner feedback. More formal SoTL projects might require 5-10 hours monthly, but the time investment scales with your ambitions and organizational support.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>Do I need a research background to do SoTL work?<\/h4>\n<p>Not at all. The &#8220;big tent&#8221; philosophy of SoTL welcomes practitioners at every level. If you can ask a genuine question about why your learners struggle with something and systematically gather evidence to answer it, you&#8217;re doing SoTL, no advanced degree required.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>What are the tangible benefits for my organization?<\/h4>\n<p>SoTL helps you identify exactly what works and what doesn&#8217;t in your training programs, leading to measurably better completion rates, knowledge retention, and on-the-job application. Organizations also build internal expertise and avoid repeating costly design mistakes across multiple programs.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>How does SoTL differ from standard program evaluation?<\/h4>\n<p>Program evaluation typically asks &#8220;Did this training work?&#8221; while SoTL asks &#8220;Why did it work, for whom, and under what conditions?&#8221; SoTL digs deeper into the learning mechanisms and contributes findings to a broader community, while evaluation often stays internal and focuses on metrics rather than understanding.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>Where can I find resources to get started?<\/h4>\n<p>Begin by connecting with communities like the SoTL Canada Journal Club, which brings together educators and researchers to discuss recent SoTL work. You can also <a href=\"https:\/\/www.connectivism.ca\/2026\/05\/18\/why-your-training-falls-flat-and-how-stories-fix-it\/\">use stories<\/a> from your own training experiences as starting points for inquiry questions, then build from there with simple data collection methods you&#8217;re already familiar with.<\/p>\n<\/div>\n<\/div>\n<p>The beauty of adopting SoTL principles is that you don&#8217;t need to transform your entire approach overnight. Many successful L&amp;D practitioners start by simply documenting one curious observation about learner behavior, then methodically investigating it. That single inquiry often reveals insights that ripple across multiple training initiatives, making the modest time investment surprisingly worthwhile.<\/p>\n<p>The Scholarship of Teaching and Learning offers corporate learning professionals more than an academic framework, it provides a practical mindset for creating eLearning experiences that genuinely work. By approaching your training programs with systematic inquiry, evidence collection, and a commitment to sharing what you discover, you transform routine course development into meaningful investigation that drives measurable results.<\/p>\n<p>You don&#8217;t need to launch extensive research projects or publish academic papers to benefit from SoTL principles. Start with a single question about a learning challenge your organization faces. Gather straightforward evidence from your LMS analytics, learner feedback, or performance metrics. Reflect on what the data reveals about how your employees actually learn, then adjust your approach accordingly. Share your findings with your team or broader learning community. That&#8217;s SoTL in action.<\/p>\n<p>This iterative, evidence-based approach aligns perfectly with design thinking and Neurolearning\u2122 principles that underpin transformative corporate learning. When you adopt even incremental SoTL practices, you&#8217;re committing to continuous improvement grounded in reality rather than assumption. You&#8217;re building learning experiences that respond to actual needs and generate sustainable organizational growth.<\/p>\n<p>The big tent of SoTL welcomes practitioners at every level, regardless of formal research background. Your inquiry journey begins with curiosity about what makes learning stick in your context and a willingness to look closely at the evidence. That commitment alone sets you apart as a learning professional dedicated to outcomes that matter.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Scholarship of Teaching and Learning (SoTL) is a systematic, research-based approach to understanding and improving teaching and learning through inquiry, evidence collection, and knowledge sharing. Unlike traditional teaching practice or informal reflection, SoTL transforms pedagogy into an object of rigorous study, asking meaningful questions about student learning, analyzing data to answer them, and contributing findings to the broader educational community.<br \>\nFor learning and development professionals in 2026, this framework offers something corporate training has long needed: a disciplined methodology for proving what works. &#8230;<\/p>\n","protected":false},"author":2,"featured_media":306,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,4],"tags":[],"class_list":["post-311","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-learning-experience-design","category-learning-lab","grid-sizer"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What Is the Scholarship of Teaching and Learning (and How Does It Work in eLearning)? 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