Scott H Young Podcast

(Ep 196) - Cognitive load theory and its applications for learning

13 snips
Jan 10, 2022
Ask episode
AI Snips
Chapters
Transcript
Episode notes
INSIGHT

Why Learning Can Be Effortful

  • Learning is hard because our working memory has limited capacity for new info, but no limit for mastered knowledge.
  • Evolution predisposes us to learn some skills naturally, while others require effortful learning due to novelty.
INSIGHT

Three Types of Cognitive Load

  • Cognitive load theory divides cognitive demand into intrinsic, extraneous, and germane loads.
  • Germane load, while effortful, enhances learning by deepening memory and is beneficial when capacity allows.
INSIGHT

Power of Worked Examples

  • Worked examples help learners avoid the extraneous load of problem-solving and better grasp general solutions.
  • Practice without solutions is suitable only once patterns are well understood and facilitates retrieval effort.
Get the Snipd Podcast app to discover more snips from this episode
Get the app