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One positive indicator you're ready for advanced AI integration: friction in your PKM process feels productive, not frustrating.

This seems counterintuitive in our efficiency-obsessed culture. But that friction—struggling to articulate ideas, searching for connections, rewriting until it clicks—that's where learning happens.

Your Zettelkasten is a gym for cognitive workout. The resistance is the point.

#PKM #Zettelkasten #LearningScience #CognitiveScience

Before moving to advanced AI integration with your PKM, ask: have you built the foundation?

Can you write permanent notes independently? Do you make connections before consulting AI? Do you understand why friction is valuable in learning?

These aren't gatekeeping questions—they're protecting the cognitive work that makes your Zettelkasten a thinking tool, not just a database.

#Zettelkasten #PKM #AI #CognitiveScience #LearningScience

Before moving to advanced AI integration with your PKM, ask: have you built the foundation?

Can you write permanent notes independently? Do you make connections before consulting AI? Do you understand why friction is valuable in learning?

These aren't gatekeeping questions—they're protecting the cognitive work that makes your Zettelkasten a thinking tool, not just a database.

#Zettelkasten #PKM #AI #CognitiveScience #LearningScience

The more I learn about the status quo of #education assessment in #higherEd, the more I find opportunities to improve.

This paper reports similar opportunities in #MedEd: https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2843382

How can a #university or #medSchool better embrace #learningScience system-wide?

“learning health systems [embed] research… in clinical operations to generate knowledge alongside care. We propose developing analogous learning medical schools, where systematic experimentation is a core component of curricular development.”

“…learning medical schools could regularly exploit natural experiments in medical education. Schools often assign students to different clinical training sites or campuses, clerkship sequences, and preclerkship learning groups. These assignments typically are, or could be, random. Do students with earlier primary care rotations more frequently pursue primary care? Do students placed at higher-volume clinical sites achieve higher board scores or residency competency ratings? Leveraging inherent randomization… could answer such questions with minimal added cost or infrastructure.

“More ambitiously, institutions could commit to systematic curricular experimentation…. randomize students to different experiences …and evaluate outcomes.”

Recent discoveries on the acquisition of the highest levels of human performance:

Source:
👉 https://www.science.org/doi/10.1126/science.adt7790

#Performance #Education #TalentDevelopment #HumanPotential #LearningScience #Pedagogy #SkillAcquisition #Specialization #HumanPerformance #Development #Science #Academic #Students #Learning

🧠🏔️ I’m sharing presentations from the Society for Judgment and Decision Making conference in #Denver at the URL below:

https://bsky.app/profile/byrdnick.com/post/3m6agtctbhc2b

My poster is about #argumentMapping and #learningScience. You will also find presentations about how to advance #cogSci with #AI tools, do #ProcessTracing in #Qualtrics without #coding, and avoid backfiring in #healthcare #nudges.

Follow to fight FOMO and enjoy #openAccess conferencing.

#SJDM25 #psychology #SciComm

Byrd, N. (2025, July). Map My Words—Using Waitlist Controlled Trials To Test Whether Argument Mapping Improves Individuals’ Persuasive Writing or Critical Thinking. Experimental Argument Analysis, University of East Anglia. https://www.researchgate.net/publication/390977878

Abstract. Argument mapping is the practice of diagraming the logical relationships between each proposition in an argument, including objections and counter-objections. Some studies find that courses that teach students how to map arguments exhibit better critical thinking and persuasive writing than students in other courses. These promising results are sometimes from surveyors of argument mapping goods and services, and they garner plenty of attention in fields that champion careful thinking and communication. However, the total evidence is mixed, null results are often never published, and many promising studies have not controlled for known confounds. Two waitlist control trials (N = 83) attempted to address t

Why Neuroscience Matters For Digital Learning

Focus is fragile. Neuroscience research shows that attention begins to fade within minutes if information arrives in a single stream. This explains why so many long lectures lose listeners.

https://www.startupeditor.com/why-neuroscience-in-digital-learning-improves-education/

#Neuroscience #DigitalLearning #LearningScience #CognitiveScience #OnlineLearning #NeuroEducation

https://www.startupeditor.com/

Why Neuroscience Matters For Digital Learning

What happens to your brain when you watch videos online at faster speeds than normal
#FastPlayback #DigitalLearning #CognitiveLoad #MemoryRecall #BrainHealth #OnlineLearning #VideoSpeed #EdTech #AttentionSpan #LearningScience #Neuroscience #MentalFatigue
https://the-14.com/what-happens-to-your-brain-when-you-watch-videos-online-at-faster-speeds-than-normal/

Want to learn effectively? Desirable difficulties are learning strategies that "make things hard on yourself, but in a good way". This includes varying study conditions, interleaving topics, spacing sessions, and using tests as learning events. #LearningScience

The educator panic over AI is real, and rational.
I've been there myself. The difference is I moved past denial to a more pragmatic question: since AI regulation seems unlikely (with both camps refusing to engage), how do we actually work with these systems?

The "AI will kill critical thinking" crowd has a point, but they're missing context.
Critical reasoning wasn't exactly thriving before AI arrived: just look around. The real question isn't whether AI threatens thinking skills, but whether we can leverage it the same way we leverage other cognitive tools.

We don't hunt our own food or walk everywhere anymore.
We use supermarkets and cars. Most of us Google instead of visiting libraries. Each tool trade-off changed how we think and what skills matter. AI is the next step in this progression, if we're smart about it.

The key is learning to think with AI rather than being replaced by it.
That means understanding both its capabilities and our irreplaceable human advantages.

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#AI #Education #FutureOfEducation #AIinEducation #LLM #ChatGPT #Claude #EdAI #CriticalThinking #CognitiveScience #Metacognition #HigherOrderThinking #Reasoning #Vygotsky #Hutchins #Sweller #LearningScience #EducationalPsychology #SocialLearning #TechforGood #EticalAI #AILiteracy #PromptEngineering #AISkills #DigitalLiteracy #FutureSkills #LRM #AIResearch #AILimitations #SystemsThinking #AIEvaluation #MentalModels #LifelongLearning #AIEthics #HumanCenteredAI #DigitalTransformation #AIRegulation #ResponsibleAI #Philosophy

AI isn't going anywhere. Time to get strategic:
Instead of mourning lost critical thinking skills, let's build on them through cognitive delegation—using AI as a thinking partner, not a replacement.

This isn't some Silicon Valley fantasy:
Three decades of cognitive research already mapped out how this works:

Cognitive Load Theory:
Our brains can only juggle so much at once. Let AI handle the grunt work while you focus on making meaningful connections.

Distributed Cognition:
Naval crews don't navigate with individual genius—they spread thinking across people, instruments, and procedures. AI becomes another crew member in your cognitive system.

Zone of Proximal Development
We learn best with expert guidance bridging what we can't quite do alone. AI can serve as that "more knowledgeable other" (though it's still early days).
The table below shows what this looks like in practice:

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#AI #Education #FutureOfEducation #AIinEducation #LLM #ChatGPT #Claude #EdAI #CriticalThinking #CognitiveScience #Metacognition #HigherOrderThinking #Reasoning #Vygotsky #Hutchins #Sweller #LearningScience #EducationalPsychology #SocialLearning #TechforGood #EticalAI #AILiteracy #PromptEngineering #AISkills #DigitalLiteracy #FutureSkills #LRM #AIResearch #AILimitations #SystemsThinking #AIEvaluation #MentalModels #LifelongLearning #AIEthics #HumanCenteredAI #DigitalTransformation #AIRegulation #ResponsibleAI #Philosophy

Critical reasoning vs Cognitive Delegation

Old School Focus:

Building internal cognitive capabilities and managing cognitive load independently.

Cognitive Delegation Focus:

Orchestrating distributed cognitive systems while maintaining quality control over AI-augmented processes.

We can still go for a jog or go hunt our own deer, but for reaching the stars we, the Apes do what Apes do best: Use tools to build on our cognitive abilities. AI is a tool.

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#AI #Education #FutureOfEducation #AIinEducation #LLM #ChatGPT #Claude #EdAI #CriticalThinking #CognitiveScience #Metacognition #HigherOrderThinking #Reasoning #Vygotsky #Hutchins #Sweller #LearningScience #EducationalPsychology #SocialLearning #TechforGood #EticalAI #AILiteracy #PromptEngineering #AISkills #DigitalLiteracy #FutureSkills #LRM #AIResearch #AILimitations #SystemsThinking #AIEvaluation #MentalModels #LifelongLearning #AIEthics #HumanCenteredAI #DigitalTransformation #AIRegulation #ResponsibleAI #Philosophy

A large table comparing unassisted critical reasoning vs "Cognitive Delegation", leveraging AI for higher order thinking.

Aha! moments don’t just feel great—they rewire your brain and double what you remember. Brain scans reveal how insight changes everything. #Neuroscience #MemoryBoost #LearningScience

https://geekoo.news/what-a-brain-on-insight-looks-like/

Want your students to really learn, not just cram and forget? Mix up topics in quizzes and have them recall from memory. It feels harder — and that's exactly why it works. #RetrievalPractice #Interleaving #LearningScience #EduTwitter

https://www.kirschnered.nl/2025/05/09/what-10-minutes-a-week-can-do/?utm_source=mastodon&utm_medium=jetpack_social

LearnLM: An experimental task-specific model for learning science principles

https://ai.google.dev/gemini-api/docs/learnlm

#HackerNews #LearnLM #LearningScience #AIResearch #MachineLearning #TaskSpecificModel

I've only just gone and relaunched The Emotional Learner.
Turns out, this what I do best.
Read the articles, peruse the resources, buy the books.
https://theemotionallearner.com
#learning #CognitivePsychology #psychology #learningscience

Why does cascade training fail?

Cascade training remains widely used in global health.

Cascade training can look great on paper: an expert trains a small group who, in turn, train others, thereby theoretically scaling the knowledge across an organization.

It attempts to combine the advantages of expert coaching and peer learning by passing knowledge down a hierarchy.

However, despite its promise and persistent use, cascade training is plagued by several factors that often lead to its failure.

This is well-documented in the field of learning, but largely unknown (or ignored) in global health.

What are the mechanics of this known inefficacy?

Here are four factors that contribute to the failure of cascade training

1. Information loss

Consider a model where an expert holds a knowledge set K. In each subsequent layer of the cascade, α percentage of the knowledge is lost:

Where is the knowledge at the nth level of the cascade. As n grows, exponentially decreases, leading to severe information loss.
Each layer in the cascade introduces a potential for misunderstanding the original information, leading to the training equivalent of the ‘telephone game’.

2. Lack of feedback

In a cascade model, only the first layer receives feedback from an actual expert.

Subsequent layers have to rely on their immediate ‘trainers,’ who might not have the expertise to correct nuanced mistakes.
The hierarchical relationship between trainer and trainee is different from peer learning, in which it is assumed that everyone has something to learn from others, and expertise is produced through collaborative learning.

3. Skill variation

Not everyone is equipped to teach others.
The people who receive the training first are not necessarily the best at conveying it to the next layer, leading to unequal training quality.

4. Dilution of responsibility

As the cascade flows down, the sense of responsibility for the quality and fidelity of the training dilutes.
The absence of feedback to drive a quality development process exacerbates this.

Share this:

#cascadeTraining #learningScience #pedagogy

Why is free energy a valuable tool for thermodynamics? And how is it related to simulating molecules for drug discovery? 👇

https://freeenergy.blog/2023/FreeEnergyFAQ1.html

#learningScience #physics #thermodynamics #drugDiscovery

In a thermodynamic system, the Reservoir acts like the central bank in an economy. But Instead of regulating money, the Reservoir is regulating energy. It sets the rules of the game, such as what forms of energy are allowed to flow.

This post explains how that works, and how that leads to the concept of "free energy" in a battery that is not tied to the Reservoir and therefore available to be charged/discharged:👇

https://freeenergy.blog/2023/FreeEnergy2.html

#learningScience #physics #thermodynamics #energy

#learningScience

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