Stanford Seminar - Learning Memory and Metacognitive Control

Course Overview

Introduction.
Traditional Cognitive Psychology Experiments.
Theories of Metacognition.
Self-direction on online platforms.
Overview.
IARPA Forecasting Competition (ACE & HFC Program).
Opt-in designs forecasters choose their own questions to answer.
Do self-directed crowds work?.
Galton and the Wisdom of Crowds.
Laboratory Opt-in Experiment.
Example questions.
Crowd-level Performance.
Experiment 2: participants self-regulate amount of work.
Experiment 3: confidence ratings.
Simulating opt-in by categories of questions.
Ongoing work.
Ebb and Flow (task switching).
Lost in Migration (Flanker task).
Memory Match (2-back Working Memory).
Aggregate learning curves across age groups.
Learning separated by early/late dropout.
Modeling dropout with survival models.
Subjective experience of learning progress.
Learning dynamics within sessions.
Aggregate within session learning curves.
Limitations of Human Metacognition.

(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
This Stanford Seminar on Learning Memory and Metacognitive Control provides learners with an in-depth exploration of the theories and practices of cognitive psychology and memory improvement. Learners will gain an understanding of the principles of metacognition, the ability to self-direct and self-regulate one's own learning, and the use of online platforms to facilitate self-directed learning. Through the IARPA Forecasting Competition, learners will gain an understanding of how self-directed crowds work and the wisdom of crowds. Through laboratory opt-in experiments, learners will gain an understanding of how to self-regulate the amount of work and confidence ratings. Through simulations of opt-in by categories of questions, learners will gain an understanding of the limitations of human metacognition. Finally, learners will gain an understanding of the subjective experience of learning progress, learning dynamics within sessions, and aggregate within session learning curves. By the end of the seminar, learners will have a comprehensive understanding of the principles of metacognition, memory improvement, and cognitive training strategies.