
Learning Science
how people learn and teach
The Origami Lesson: What One Simple Experiment Revealed About How We Learn | Dr. Mark Johnson
What if there's a different way to think about developing skills? In this @MAGICademy conversation, Dr. Mark Johnson shares some fascinating insights through a simple paper-folding exercise that reveals something surprising about how we master new abilities.
We explore ideas like "latency"—the gap between hearing instructions and applying them—and why storytelling seems to help skills stick better.
Whether you're developing your own capabilities, helping others build theirs, or just curious about how we get better at things, there might be something here worth discovering. Feel free to grab a piece of paper and follow along.
Just-in-Time Micro-Feedback Strategies Towards Inclusivity & Learning Mastery | Chris Du
Artificial intelligence is emerging as a transformative tool in educational assessment, offering nuanced ways to support learning through personalized feedback mechanisms. While AI can efficiently generate individualized insights for students, especially in scenarios where instructors face time constraints, its true potential lies in collaborative implementation with human educators who can refine and contextualize the generated feedback. The technology's capability extends beyond direct student interaction, providing valuable trend analysis that can help educators identify systemic improvements in teaching methodologies. However, this promising technological integration comes with critical ethical considerations, particularly the need to prevent over-dependence on AI systems and maintain a balanced, human-centered approach to learning that preserves the essential interpersonal dimensions of education. By thoughtfully integrating AI as a supportive tool rather than a replacement for human instruction, educational institutions can leverage technology to enhance, not replace, the nuanced art of teaching and learning.