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Artificial intelligence and the environment: Putting the numbers into perspective - Artificial intelligence
Artificial intelligence and the environment: Putting the numbers into perspective - Artificial intelligence
Using AI does use energy, water, and other resources. But when you consider it as part of your decision-making, it's important to put it in perspective. Being on a Zoom call or watching Netflix for an hour uses more electricity and water than prompting ChatGPT numerous times.
·nationalcentreforai.jiscinvolve.org·
Artificial intelligence and the environment: Putting the numbers into perspective - Artificial intelligence
Interactive Activities Done Properly: What the Science Actually Allows Us to Do | Learning Development Accelerator
Interactive Activities Done Properly: What the Science Actually Allows Us to Do | Learning Development Accelerator
Matt Richter dives deep into the science of how to align activities with the goals for learning and what people need to practice or accomplish.
When a metaphorical game succeeds, it succeeds because it creates structurally similar cognitive demands—not because it is fun, novel, or symbolic.
In other words, the brain doesn’t care about your metaphor. It cares about what it has to think about during the activity.
From a cognitive architecture viewpoint, activities are not designed to “create engagement,” “break up the session,” or “get people talking.” Those may be side benefits, but they are never the goal. The purpose of an activity is to create conditions where the learner must activate, retrieve, apply, or integrate the target schema.
When aligned to cognitive architecture, interactive activities can beautifully satisfy SDT’s psychological needs: Autonomy: choosing strategies, making decisions Competence: clear and informational feedback, achievable challenge Relatedness: coordinating, negotiating, helping But motivation is a multiplier, not a substitute
·members.ldaccelerator.com·
Interactive Activities Done Properly: What the Science Actually Allows Us to Do | Learning Development Accelerator
Bias in AI: Examples and 6 Ways to Fix it in 2025
Bias in AI: Examples and 6 Ways to Fix it in 2025
Examples of bias in AI in image generation, recruiting tools, voice recognition, and other areas. The solutions here focus primarily on adjustments of the AI systems and debiasing strategy rather than on the level of individual prompts to improve representation. If you're looking at your overall strategy for AI, how you address bias has to be part of the plan.
·research.aimultiple.com·
Bias in AI: Examples and 6 Ways to Fix it in 2025
Why AI Video Avatars are NOT the Next Big Thing in L&D
Why AI Video Avatars are NOT the Next Big Thing in L&D
Heidi Kirby digs into the research about AI video avatars (excluding the vendor research). The support really isn't there. I've anecdotally seen lots of complaints about how they sit in the uncanny valley. But even as the video avatars get more realistic, is a talking head video really the best instructional method? Of course not! There wasn't a lot of buzz about talking head videos before AI. Why is there so much buzz now? (Interactive video avatars for scenarios are a separate question and not addressed by this article.)
Despite their increasing use, there's limited evidence that AI-generated avatars significantly improve learning outcomes.
·getusefulstuff.com·
Why AI Video Avatars are NOT the Next Big Thing in L&D
Supporting Learning with AI-Generated Images: A Research-Backed Guide - MIT Sloan Teaching & Learning Technologies
Supporting Learning with AI-Generated Images: A Research-Backed Guide - MIT Sloan Teaching & Learning Technologies
Suggestions and examples for using AI-generated images in meaningful ways to support learning, without adding confusing or distracting images. Consider cognitive load and the purpose of your images.
A study by Sung and Mayer (2012) suggests that any graphic in a learning experience will fall into one of these three categories: Instructive images: These visuals directly support learning and facilitate essential cognitive processing of core concepts. For example, a diagram illustrating Porter’s Five Forces can help students better understand this business strategy framework. Decorative images: These graphics enhance aesthetics but don’t influence learning. For example, an image of a business handshake can be visually appealing but won’t support or obstruct students’ understanding of negotiation strategies. Distracting images: Sung and Mayer call this category “seductive” images. While these visuals may relate to the topic, they impede learning because they require extraneous cognitive processing. As an example, consider a complex organizational chart of a full corporation in a lesson on team leadership. The image connects broadly to the lesson but also highlights a lot of irrelevant details, distracting students from the key concepts.
·mitsloanedtech.mit.edu·
Supporting Learning with AI-Generated Images: A Research-Backed Guide - MIT Sloan Teaching & Learning Technologies
Delayed and Immediate Feedback in the Classroom: The Results Aren’t What Students Think!
Delayed and Immediate Feedback in the Classroom: The Results Aren’t What Students Think!
Megan Sumeracki summarizes research on delayed and immediate feedback on homework assignments. The "immediate" condition here means "immediately after the due date" rather than "immediately after completing the work." Students who received delayed feedback did about 1 grade level better on the exams. However, they felt that the delay either didn't help them or hurt their learning. Student perception of what helped them most didn't align with what actually worked.
Logically if we think about feedback as correcting errors, then it makes sense that we would want pretty immediate feedback. But if we think about feedback as another presentation of the information, then a space ought to improve learning.
·learningscientists.org·
Delayed and Immediate Feedback in the Classroom: The Results Aren’t What Students Think!
How People Are Really Using Gen AI in 2025
How People Are Really Using Gen AI in 2025
How do people use generative AI? I was surprised at how much of the use is for interactions like therapy and personal interaction. "Personal and professional support" was the top broad category in this research, which also includes tasks like organizing your life, resolving disputes, building lists, etc. "Content Creation and Editing" was second, followed by "Learning and Education." The popularity of learning on the list was also an interesting finding.
“Personal and Professional Support” is now the largest theme by far, stealing most of its new ground from “Technical Assistance & Troubleshooting.”
·hbr.org·
How People Are Really Using Gen AI in 2025
The power of generative marketing: Can generative AI create superhuman visual marketing content?
The power of generative marketing: Can generative AI create superhuman visual marketing content?
This abstract of a marketing research paper explains how they compared AI-generated images and ads to human-created ads. The AI images were not just comparable, they were better than what people created. While this research is specific to marketing, I think it's relevant to images we use in training and elearning.
First, we prompt seven state-of-the-art generative text-to-image models (DALL-E 3, Midjourney v6, Firefly 2, Imagen 2, Imagine, Realistic Vision, and Stable Diffusion XL Turbo) to create 10,320 synthetic marketing images, using 2,400 real-world, human-made images as input. 254,400 human evaluations of these images show that AI-generated marketing imagery can surpass human-made images in quality, realism, and aesthetics. Second, we give identical creative briefings to commissioned human freelancers and the AI models, showing that the best synthetic images also excel in ad creativity, ad attitudes, and prompt following.
·papers.ssrn.com·
The power of generative marketing: Can generative AI create superhuman visual marketing content?
Inclusive Learning Survey
Inclusive Learning Survey
Will Thalheimer and Ingeborg Kroese have developed survey questions to help measure how inclusive learning experiences are. You can read about the research, development, and pilot process on the website. The survey questions are available for free with a CC license.
·inclusivelearningsurvey.org·
Inclusive Learning Survey
The politeness effect: Pedagogical agents and learning outcomes
The politeness effect: Pedagogical agents and learning outcomes
Using polite language in elearning improves learning outcomes.
The polite version yielded better learning outcomes, and the effect was amplified in learners who expressed a preference for indirect feedback, who had less computer experience, and who lacked engineering backgrounds. These results confirm the hypothesis that learners tend to respond to pedagogical agents as social actors, and suggest that research should focus less on the media in which agents are realized, and place more emphasis on the agent's social intelligence.
·sciencedirect.com·
The politeness effect: Pedagogical agents and learning outcomes
Reflecting on Research and Practice
Reflecting on Research and Practice
How do we put research into practice in L&D? Clark Quinn reflects on the work of the LDA (Learning Development Accelerator) to improve the field of L&D with approaches informed by science and research. Clark discusses how science is always improving, so our understanding can change over time. Research can also be misleading or biased (or shared in misleading ways). Still, we can be more effective in our work with evidence-informed practices.
·linkedin.com·
Reflecting on Research and Practice
(PDF) Storifying Instructional Videos on Online Credibility Evaluation: Examining Engagement and Learning
(PDF) Storifying Instructional Videos on Online Credibility Evaluation: Examining Engagement and Learning

This study researched whether adding story elements to an instructional video affects motivation, emotional engagement, and learning. In the research, they explain that they did not find any difference between a well-produced instructional video and a storified instructional video.

However, the storified video feels very artificial to me. This isn't a story about a relevant character the learners can identify with who uses the concepts in realistic situations (or even slightly exaggerated ones). This is about a fake detective agency. I'd be cautious about assuming this research applies to realistic stories as well.

·researchgate.net·
(PDF) Storifying Instructional Videos on Online Credibility Evaluation: Examining Engagement and Learning
25 Neuroscience Myths
25 Neuroscience Myths
Lots of myths from pop psychology about neuroscience (plus a few from cognitive psychology or other non-neuro fields). While this isn't specific to learning, many of these myths are shared uncritically in L&D circles.
Neuroscience techniques can only reliably answer “how” people behave or process information, but they should never answer “why” people behave the way they do.
·medium.com·
25 Neuroscience Myths
Masters' Q&A - Clark Quinn
Masters' Q&A - Clark Quinn
Clark Quinn answers 5 questions on simulations for training leaders and how they help provide practice opportunities. I appreciate the clarification on what he means by a simulation and the differentiation between "simulation" and "branching scenario," as those terms are often muddy.
Scenarios can be implemented in actual simulations (where the world is actively modeled, and the consequences are calculated), or in branching scenarios where the relationships are hard-coded in the consequences attached to a decision.
scenarios give us contextualized practice, which research shows leads to better retention and transfer. With the right choices, the scenario is engaging and provides meaningful practice, which leads to acquiring new abilities.
<div data-breakout="normal"><p class="-Zro6 -ZADH IjV6v AnCKd _57WYp" id="viewer-avnma"><span class="d0767"><span style="font-weight:700"><span>DAN: What makes learning through a simulation experience unique and meaningful?</span></span></span></p></div><div type="paragraph" data-hook="rcv-block26"></div><div data-breakout="normal"><p class="-Zro6 -ZADH IjV6v AnCKd _57WYp" id="viewer-d53db"><span class="d0767"><span style="font-weight:700"><span>CLARK</span></span><span>: As above, research says that contextualized practice (with feedback) is the best way to develop new abilities. They need to have a ’story’ setting: a context, then something happens that precipitates the need for a decision, and then the decision has consequences. That’s just a better-written multiple-choice question (please!), but if we drive the outcomes from a branching or simulation basis, this can lead to new decisions (they travel in packs!)</span></span></p></div>
·topfbusinesslearning.com·
Masters' Q&A - Clark Quinn
Consensus: AI Search Engine for Research
Consensus: AI Search Engine for Research
Curious about the research on a particular topic? Consensus searches research and provides summaries. If you ask a yes/no question on a well-researched topic, it will provide you with a color-coded yes/no/maybe summary. This doesn't work as well if there isn't much research on a particular topic (as is the case for a lot of L&D questions), but it's a good way to both get a quick glance at the research and to find sources so you can dig deeper on your own.
·consensus.app·
Consensus: AI Search Engine for Research
Memory and comprehension of narrative versus expository texts: A meta-analysis - PMC
Memory and comprehension of narrative versus expository texts: A meta-analysis - PMC
The full text of the meta-analysis comparing memory and understanding of stories versus expository text. The researchers are careful to note the limitations of this evidence, but overall found that narratives have an advantage over expository text and explanations.
Stories may be easier to remember and comprehend than essays because stories resemble our everyday experiences (Bruner, <a href="#CR10" rid="CR10" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">1986</a>; Graesser et al., <a href="#CR39" rid="CR39" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">1991</a>). People experience life in the real world as temporally ordered causal events, organized around personal goals, with the encountering and overcoming of obstacles to these goals resulting in emotional experiences; this parallels the structure of stories (Graesser, McNamara, &amp; Louwerse, <a href="#CR37" rid="CR37" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">2003</a>; Graesser, Singer, &amp; Trabasso, <a href="#CR38" rid="CR38" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">1994</a>).
Familiarity with the structure and content of a text is referred to as relevant “prior knowledge” (Dochy, Segers, &amp; Buehl, <a href="#CR28" rid="CR28" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">1999</a>), and stories might be more memorable and comprehensible thanks to readers having greater prior knowledge.
Readers are less likely to benefit from prior knowledge while reading an essay, relative to stories, and are therefore less likely to benefit from easy inferences. This combination could easily put expository texts at a disadvantage when it comes to memory and comprehension (Coté, Goldman, &amp; Saul, <a href="#CR18" rid="CR18" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">1998</a>; McNamara, <a href="#CR68" rid="CR68" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">2004</a>).
A final reason to believe that narratives may be more memorable than expository texts hinges on the ability of emotions to facilitate memory (Hamann, <a href="#CR42" rid="CR42" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">2001</a>). Affectively charged recollections have been dubbed “flash-bulb” memories, to communicate the idea that emotional events are deeply imprinted on the mind, like a flash aiding photography (Winograd &amp; Neisser, <a href="#CR107" rid="CR107" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">1992</a>). This emotional facilitation of memory appears to result from a prioritizing of emotional material when it comes to attention and perception (Brosch, Pourtois, &amp; Sander, <a href="#CR9" rid="CR9" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">2010</a>), with personal relevance playing a key role (Levine &amp; Edelstein, <a href="#CR58" rid="CR58" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">2009</a>). To the extent that stories are better able to evoke strong emotions than expository texts (cf. Mar, Oatley, Djikic, &amp; Mullin, <a href="#CR62" rid="CR62" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">2011</a>), we would expect stories to be better recalled than exposition.
Our primary research question was whether memory and comprehension differ for narrative versus expository texts. Our three-level random-effects meta-analysis of 150 effect-sizes found that, on average, memory and comprehension of narrative texts was superior to that for expository texts.
Our meta-analysis of 150 effect-sizes (from over 75 unique samples and more than 33,000 participants) found that people had an easier time comprehending and recalling narrative texts compared to expository ones. The average magnitude of this effect was more than a half a standard deviation, with a 95% CI ranging from just more than one-quarter to slightly more than three-quarters of a standard deviation. Moreover, this result appears to be robust, and not driven by any one particular effect-size or study. There was a great deal of variability in these effects, however, almost all of which represents true heterogeneity and not random sampling error. This variability originated primarily from differences between studies.
In closing, the totality of the evidence available finds that people have an easier time comprehending and recalling information presented in a story compared to that presented in an essay. This has potential implications for a number of disciplines, not least of which is the realm of education.
To that end, the advantage afforded to narratives over exposition in this domain should be considered whenever possible. We must emphasize, however, that these results should not be interpreted as a suggestion to force all information into a narrative form for pedagogical purposes, especially when such information is not typically presented in this way.
It is quite possible that mixed genres like narrative journalism, for example, could hold the key for leveraging the advantages of narrative–its ability to capture interest and communicate experience through imagination – to meet the goals of exposition to inform and educate (van Krieken &amp; Sanders, <a href="#CR102" rid="CR102" class=" bibr popnode" role="button" aria-expanded="false" aria-haspopup="true">in press</a>).
·ncbi.nlm.nih.gov·
Memory and comprehension of narrative versus expository texts: A meta-analysis - PMC
Memory and comprehension of narrative versus expository texts: A meta-analysis - PubMed
Memory and comprehension of narrative versus expository texts: A meta-analysis - PubMed
A meta-analysis comparing how people remember and understand text, broadly categorized as narratives (stories) and expository texts (which they call essays). They acknowledge that the research is mixed, but overall found a "robust" result that stories were easier to understand and remember.
Based on over 75 unique samples and data from more than 33,000 participants, we found that stories were more easily understood and better recalled than essays. Moreover, this result was robust, not influenced by the inclusion of a single effect-size or single study, and not moderated by various study characteristics. This finding has implications for any domain in which acquiring and retaining information is important.
·pubmed.ncbi.nlm.nih.gov·
Memory and comprehension of narrative versus expository texts: A meta-analysis - PubMed
Should Instructional Videos Include a Talking Head?
Should Instructional Videos Include a Talking Head?
The research on the value of a talking head with instructional videos is mixed. It can improve the sense of teacher presence and learner satisfaction, but it may also increase cognitive load and interfere with remembering.
Results revealed detrimental effects of talking heads on the recall of factual knowledge covered in the videos. Interestingly, participants rated their perceived learning as being higher for videos with talking head. Furthermore, participants assigned higher satisfaction scores to videos with talking heads and selected them more frequently when choosing between different formats.
<span>Higher levels of teacher presence have been positively associated with student satisfaction and student&nbsp;</span><em>perceptions</em><span>&nbsp;of learning.</span>
Findings suggest that combining talking heads and annotations in asynchronous video lectures yielded the longest watch time, and highest satisfaction, engagement, and attitude scores.
·scienceoflearning.substack.com·
Should Instructional Videos Include a Talking Head?
The minimal relationship between simulation fidelity and transfer of learning - PubMed
The minimal relationship between simulation fidelity and transfer of learning - PubMed
Does a high-fidelity simulation produce better results than a low-fidelity simulation? This meta analysis didn't find a significant advantage, at least in training for clinical and patient care skills. That doesn't mean some other skills wouldn't benefit from high-fidelity simulations, but it does support the idea that the lower cost simulations can still provide positive results.
·pubmed.ncbi.nlm.nih.gov·
The minimal relationship between simulation fidelity and transfer of learning - PubMed
The 85% Rule for Learning - Scott H Young
The 85% Rule for Learning - Scott H Young
We don't learn very well if the tasks are so easy that we get it perfectly right every time, or so hard that we're constantly failing. While it's not the same for every task, this suggests that learning is more effective if you can succeed 80-85% of the time.
The 85% rule suggests growth will be maximized when we practice tasks we can succeed at roughly four-fifths of the time.
If you succeed in every attempt, you probably don’t have the difficulty high enough to improve. If you fail most of the time, you will likely make more progress if you start picking smaller, more manageable challenges.
·scotthyoung.com·
The 85% Rule for Learning - Scott H Young
Does writing style change how learners perceive choices in a branched scenario? – Learningworld Design
Does writing style change how learners perceive choices in a branched scenario? – Learningworld Design
Description of PhD research on how the writing style of choices in a branching scenario affected which options learners chose and how they thought about those options. This is a small sample size, but still interesting results in favor of using dialog for branching scenario choices.
Finally, version with dialogue-based choices (see screenshot above) was perceived as more personal and engaging, “lively” and helpful for making a selection (“made me feel like I was talking out loud in my head”).
The findings from this pilot questionnaire seem to indicate that providing framing in the options themselves has more effect on the learner than providing it in an introductory text.
Additionally, options written as dialogue were experienced as more personal and elicited higher emotional reactions of the learner towards the characters. This may be of use in courses about soft skills.
·learningworlddesign.co.nz·
Does writing style change how learners perceive choices in a branched scenario? – Learningworld Design