Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Stanford University

Stanford Seminar - Learning, Memory, and Metacognitive Control

Stanford University via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intricacies of learning, memory, and metacognitive control in this Stanford seminar. Delve into traditional cognitive psychology experiments and theories of metacognition, with a focus on self-direction in online platforms. Examine the IARPA Forecasting Competition and opt-in designs where forecasters choose their own questions. Investigate the concept of wisdom of crowds through laboratory experiments and analyze crowd-level performance. Learn about experiments involving self-regulation of work and confidence ratings. Discover ongoing research on task switching, attention, and working memory through various cognitive tasks. Analyze learning curves across age groups and dropout patterns. Explore the modeling of dropout using survival models and the subjective experience of learning progress. Investigate learning dynamics within sessions and aggregate within-session learning curves. Conclude by examining the limitations of human metacognition in this comprehensive exploration of cognitive processes and their applications in online learning environments.

Syllabus

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.

Taught by

Stanford Online

Reviews

4.7 rating, based on 3 Class Central reviews

Start your review of Stanford Seminar - Learning, Memory, and Metacognitive Control

  • This was really informational. I hope response was actually very nice. I think i will definitely benefit from this.
  • I thought the metacognitive and other aspects of learned self-learned learning is very interesting I also thought that it was interesting that we ourselves we learn better by being in control of the situation
  • Profile image for Elidrissi Raghni Elmahdi
    Elidrissi Raghni Elmahdi
    a good xpereienc whit this amazing platforme it was a great experience because it is my first time here thank you all for yours efforts

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.