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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

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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.
Tolman introduced the idea that behavior is influenced by...
803

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Immersive virtual environments and embodied agents for e-learning applications.

Isabel S Fitton1, Daniel J Finnegan2, Michael J Proulx3

  • 1Department of Computer Science, University of Bath, Bath, UK.

Peerj. Computer Science
|April 5, 2021
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Summary
This summary is machine-generated.

Massive Open Online Courses (MOOCs) show promise in virtual environments, but this study found similar learning outcomes and engagement compared to traditional lectures. Further research is needed to optimize remote learning applications.

Keywords:
ClassroomDistance learningE-learningEducationImmersive virtual environmentsMOOCVirtual reality

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Area of Science:

  • Educational Technology
  • Virtual Learning Environments
  • Remote Learning

Background:

  • Massive Open Online Courses (MOOCs) face challenges with learner commitment and low completion rates.
  • Immersive virtual environments (VEs) are explored as a potential solution to enhance remote learning.
  • Embodied agent tutors are common in VEs but their impact requires investigation.

Purpose of the Study:

  • To investigate the effectiveness of immersive virtual environments for delivering PowerPoint-based learning.
  • To assess the role of embodied agent tutors in virtual learning environments.
  • To compare learner performance, motivation, satisfaction, and engagement in real versus virtual settings.

Main Methods:

  • Learners participated in informational learning tasks in both real and virtual environments.
  • A bespoke knowledge test was administered to assess learning outcomes.
  • Metrics for motivation, satisfaction, and engagement were collected.
  • The presence or absence of embodied agent tutors was varied within the virtual environment.

Main Results:

  • No significant differences were found in knowledge test performance between real and virtual environments.
  • Learner motivation, satisfaction, and engagement levels were comparable across real and virtual settings.
  • The presence of embodied agent tutors did not significantly impact the measured outcomes.

Conclusions:

  • Virtual environments show potential for delivering remote learning comparable to traditional lectures.
  • Embodied agent tutors may not be essential for achieving similar learning outcomes in current VE designs.
  • Further research is crucial to guide the development of effective remote learning applications using virtual environments.