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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network
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Gamification of Learning Deactivates the Default Mode Network.

Paul A Howard-Jones1, Tim Jay2, Alice Mason3

  • 1Graduate School of Education, University of Bristol Bristol, UK.

Frontiers in Psychology
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Summary
This summary is machine-generated.

Embedding educational learning in games improves engagement and learning outcomes. Brain imaging revealed decreased default mode network (DMN) activity, not increased working memory network (WMN) activity, correlated with better learning.

Keywords:
default mode networkmemoryrewardworking memory

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Area of Science:

  • Cognitive Neuroscience
  • Educational Psychology
  • Neuroimaging

Background:

  • Educational learning can be enhanced through engaging methods.
  • Game-based learning aims to increase motivation and cognitive resource allocation.
  • The interplay between default mode network (DMN) and working memory network (WMN) is crucial for cognitive tasks.

Purpose of the Study:

  • To investigate the neural correlates of game-based learning.
  • To compare cognitive resource engagement across different learning conditions (study-only, self-quizzing, game-based).
  • To examine the relationship between learning outcomes, engagement, and brain activity, specifically DMN and WMN modulation.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to measure brain activity.
  • Participants engaged in learning tasks under three conditions: Study-only, Self-quizzing, and Game-based.
  • Self-reported engagement and learning scores were collected alongside neural data.

Main Results:

  • Default mode network (DMN) hubs showed decreased activation as learning conditions became more game-like.
  • Higher self-reported engagement and learning scores were observed in the Game-based condition.
  • No significant increase in working memory network (WMN) activity was detected; ventral striatal activation correlated with feedback.
  • DMN deactivation was linked to improved educational learning outcomes.

Conclusions:

  • Game-based learning enhances engagement and learning outcomes, primarily through DMN deactivation.
  • The findings challenge the traditional view of a strict anti-correlation between DMN and WMN activity during learning.
  • Ventral striatal activation suggests a role for reward processing in game-based learning environments.