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Cognitive Learning01:21

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
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Introduction to Learning01:18

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Metacognition01:26

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Purposive Learning01:22

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Related Experiment Video

Updated: Feb 19, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
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Using learning analytics to evaluate a video-based lecture series.

K H Vincent Lau1, Pue Farooque2, Gary Leydon3

  • 1a Department of Neurology , Massachusetts General Hospital , Boston , MA , USA.

Medical Teacher
|November 9, 2017
PubMed
Summary
This summary is machine-generated.

Learner analytics (LA) can enhance the evaluation of video-based lectures (VBLs) in medical education. Analyzing audience data reveals viewing patterns and content engagement, complementing traditional feedback methods.

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Area of Science:

  • Medical Education
  • Digital Learning Technologies

Background:

  • Video-based lectures (VBLs) are key in flipped classrooms and MOOCs.
  • Current evaluation relies heavily on direct learner feedback.
  • Learner analytics (LA) offer a quantitative approach using audience usage data.

Purpose of the Study:

  • To apply LA to a series of VBLs on EEG interpretation.
  • To examine trends in view count, video completion, and audience retention.
  • To propose a multi-level model for LA in VBL evaluation.

Main Methods:

  • LA was applied to ten VBLs on EEG interpretation hosted on YouTube.
  • Analysis included view counts, total percentage viewed, and audience retention (AR).
  • Regression analysis characterized AR decline patterns.

Main Results:

  • A uniform linear decline in viewership was observed across videos.
  • No optimal VBL length was identified.
  • Segments with increased AR indicated core concepts needing further review.

Conclusions:

  • LA is a valuable tool for evaluating VBL series.
  • A proposed model integrates LA with learner self-report for comprehensive assessment.