Stated hypothesis include...
1. students may not know what effective strategies are
2. students may not know how to implement the effective strategies
3. perceived cost may outweigh perceived benefit

Wang, L., Muenks, K., & Yan, V. (2023). Interventions to Promote Retrieval Practice: Strategy Knowledge Predicts Intent, but Perceived Cost Predicts Usage.

https://psyarxiv.com/kjzs3/download?format=pdf

#RetrievalPractice #ScienceEducation #EdResearch #LearningScience

2/

"Retrieval Practice Consistently Benefits Student Learning" but how to get students to do it?

#ScienceOfLearning #RetrievalPractice #ScienceEducation #EdResearch #LearningScience

I've enjoyed the science-based learning resources and blog at https://www.learningscientists.org/

#EdResearch #LearningScience

This is funny, but I actually do think confusion (at least temporarily) is very valuable in our journey to learn something worthwhile:

https://freeenergy.blog/embracing%20transitory%20confusion/physics/math/2022/12/10/Learning.html

#Science #learningScience

In thermodynamics, we have extensive and intensive state variables. This post explores some of the important scaling requirements when we compute the various thermodynamic partial derivatives.

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

#entropy #learningScience #physics #thermodynamics

When we first started to study the subject and began with the basics, it was very disconcerting to not understand some of the details. But then as we learned the big picture and how the theories are applied, things began to make more sense, so we grew more comfortable.

But the true experts and greats are those who have a complete understanding of almost all of the "knowledge stack", to better enable them to tackle the unknown frontiers.

#learningScience

I now realize: For us mere mortals, we "understand" a complex/difficult field (pick any area in physics, math, biology, economics, ...) when we begin to master the big picture concepts, which also causes us to conveniently forget the points of confusion we had about the basic, foundational elements when we first learned them. So this makes us more comfortable so that we feel like we "understand."

#learningScience

Temperature, pressure, volume, etc. are state variables in thermodynamics that are uniquely defined in equilibrium states. In fact, they were invented precisely because we had simple sensors that directly measured them in equilibrium states.

But what about entropy? We don't have an "entropy sensor" that can directly measure it. So how do we make sense of why entropy is a state variable?👇

https://sunfishstanford.github.io/math/physics/embracing%20transitory%20confusion/2023/03/23/EntropyStateVariable.html

#learningScience #physics #thermodynamics

The efficiency of a Carnot heat engine is a universal property that directly follows from the First and Second Laws of thermodynamics, and the beautiful reasoning behind it was a key triumph of physics in the 19th century. This post simplifies and distills the underlying logic:👇

https://sunfishstanford.github.io/math/physics/embracing%20transitory%20confusion/2023/03/18/ThermodynamicTemperature.html

#learningScience #physics #thermodynamics

Why is the second law of thermodynamics kind of like group theory? And is there a simple way to understand why all reversible heat engines MUST have the same efficiency? 👇

https://sunfishstanford.github.io/math/physics/embracing%20transitory%20confusion/2023/03/01/CarnotEngine.html

#learningScience #physics

When I first learned thermodynamics, I encountered new concepts such as state variables (e.g., energy), non-state variables (e.g., work and heat), and perfect versus imperfect differentials. This really confused me. Is there a deeper rationale, and what is the underlying mathematical logic? And how is this related to electrostatic potentials and conservative electric fields? I think there is a simple way to explain this. 👇

https://sunfishstanford.github.io/math/physics/embracing%20transitory%20confusion/2023/02/24/imperfectDifferential.html

#math #physics #learningScience

I regularly get confused about direct sums versus tensor products if it's been a while since I last thought about the topic, and then I would need to re-remember how things work. So I decided to jot down some notes to save some time in the future. Here's a post:

https://sunfishstanford.github.io/embracing%20transitory%20confusion/math/physics/2023/01/22/TensorProductDirectSum.html

#math #physics #learningScience

When you first learn about vectors and rotations and dot products in Cartesian space, they’re simple and easy to understand. And then you learn about Minkowski space and curved spacetime and different reference frames, and you need to work with metrics versus coordinate transformations...and things get complicated. Here is my attempt to untangle the metric versus the coordinate transformation: https://sunfishstanford.github.io/embracing%20transitory%20confusion/math/physics/2022/12/30/MetricsVsTransforms.html

#math #physics #learningScience

I'm writing a series of blog posts on learning math and physics by being confused.😎

Here is the intro: https://sunfishstanford.github.io/physics/math/2022/12/10/Learning.html

The first post is about the very easily misunderstood transformation of tensors (covariant vs. contravariant vs. invariant). I started by seeming to show an object is all 3 simultaneously (obviously wrong), but it all makes sense by the end. See here:
https://sunfishstanford.github.io/math/physics/2022/12/25/Transforming_tensors.html

#math #physics #learningscience

Very inspired by the #SaganLecture at #agu2022 Ariel Anbar really brought together so many things I care about #astrobiology #learningscience #anthropocene

For those interested in the use of AI in education (including a section on ethical challenges), there is a new open access book by Springer called “AI in Learning: Designing the Future”, edited by Hannele Niemi, Roy Pea, and Yu Lu:
https://link.springer.com/book/10.1007/978-3-031-09687-7. #aied #AiInLearning #learningsciences #learningscience #edtech #edresearch

We are happy that #BetaCodex Network co-founder @valeryacarvalho now joined Mastodon, too!
Welcome, Valérya!

#OrgDesign, #OrgDev, #agility, #organization, #transformation, #learningscience, #education, #didactics, #pedagogy, #corporatelearning, #EdTech, #elearning #leadershipdevelopment, #futureofwork, #betacodex #leadership #agile #teal #agility

#LearningBS, Volume 3:

- The idea that #learning needs to #entertain the learners - as expressed by fads like #gamification, VR/AR, explanatory videos, bite-size learning, and most #elearning.

- The idea that learning should be chiefly about knowledge (which only helps with solving complicated problems), and the pursuit of the vague notion of #competence. We should aim at #mastery + #knowledge!

#education #pedagogy #qomenius #edtech #learningscience #highered #corporatelearning #training

#LearningBS, Volume 2:

- The notion that attention spans are decreasing, and that thus #MicroLearning, #BiteSizeLearning etc. are in order. It's true that #media is changing, but the nature of #knowledge acquisition and disciplined #practice (for achieving #mastery) is not

- The notion that #talent or "being gifted" exists. Such ideas are opposed to #learningscience, and as sticky as belief in gods

#learning #education #pedagogy #edtech #learningdesign #highered #corporatelearning #didactics

#LearningBS, Volume 1:

- The idea that people have "comfort zones." They do not!

- The idea that people can or need to "unlearn". Forgetting is a thing - unlearning is not!

- The idea that "learning styles" exist. Everybody learns somewhat differently, but there are no "visual", "oral" or whatever types!

#learning #education #pedagogy #qomenius #edtech #learningscience #learningdesign #highered #corporatelearning #training #didactics