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A Comprehensive Guide to Social LearningTheory GyrusAim LMS GyrusAim LMS - Social learningtheory’s fundamental tenet is that people learn by watching, copying, and behaving like others in social situations. What Is Social LearningTheory?
A Comprehensive Guide to Social LearningTheory GyrusAim LMS GyrusAim LMS - Social learningtheory’s fundamental tenet is that people learn by watching, copying, and behaving like others in social situations. What Is Social LearningTheory?
A Comprehensive Guide to Social LearningTheory Gyrus Systems Gyrus Systems - Best Online Learning Management Systems Social learningtheory’s fundamental tenet is that people learn by watching, copying, and behaving like others in social situations. What Is Social LearningTheory?
As a trainer and facilitator who works with nonprofit organizations and staffers, you have to be obsessed with learningtheory to design and deliver effective instruction, have productive meetings, or embark on your own self-directed learning path. Here’s some examples.
” While a participant survey is an important piece of your evaluation, it is critical to incorporate a holistic reflection of your workshop. This includes documenting your session, reviewing your decks and exercises, analyzing your instructional design, and figuring out how to improve it. Use LearningTheory.
So, expect to see regular reflections on good instructional design and delivery for any topic, but especially digital technology and social media related. As someone who has been designing and delivering training for nonprofits over the past twenty years, the most exciting part is apply theory to your practice.
Here are six fantastic books that I read this year that help you gain 21st century skills like learning from failure, reflection, visualization, and more. This book is filled with great tips on designing engaging learning experiences that help your participants connect, inspire, and engage. Brilliant Mistakes by Paul H.J.
This guide provides an opinionated overview of recent work and open problems across areas like adversarial testing, model transparency, and theoretical approaches to AI alignment. Robust unlearning: One idea for reducing AI risks is to remove models' knowledge of potentially dangerous topics, such as cybersecurity exploits or virology.
Cindy and Jeanne wrote this great reflection of what we learned and how we facilitated this very interactive session. The session not only included training tips, but modeled them during the session so that the audience interacted and practiced skills directly.
One way is to see if it helps us prove things about models that we care about knowing. In this episode, I speak with Jason Gross about his agenda to benchmark interpretability in this way, and his exploration of the intersection of proofs and modern machine learning. Whats the theme? Jason Gross (00:01:02): Okay.
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