Experiential Learning
Learning through challenge, feedback, iteration, and participation rather than instruction alone.
Experiential learning gathers the site’s resistance to lecture-first education. Why E-Learning Fails the 70-20-10 Test argues that many learning systems overinvest in explanation and underinvest in situated doing, while Seymour Papert’s Legacy supplies the deeper educational imagination behind that critique.
Taken together with Unboxing AI, the point is practical as well as philosophical: the best learning environment is not the one that narrates thought most clearly, but the one that gives learners meaningful problems, feedback, and room to act.
Related
A defining figure for programming education, constructionism, and the educational imagination of computing.
How children, code, tools, and educational design come together in the teaching of computing.
A guide to the site's writing on e-learning, instructional media, and educational form.
Read Next
- Why E-Learning Fails the 70-20-10 Test
E-learning has built a $300B industry around the least effective slice of the learning model — formal instruction — while neglecting the experiential and social work that actually drives development.
- Seymour Papert’s Legacy
Children, computers, and the future of programming education
- Unboxing AI, Understanding the Magic of Large Language Models
Ever wondered how ChatGPT seems to know so much? Or how AI can write stories, answer questions, and even crack jokes? We're about to lift the curtain on these AI marvels!
