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Related Concept Videos

Self-Regulation01:25

Self-Regulation

Self-regulation, also known as self-control, encompasses a range of cognitive and behavioral processes that allow individuals to adjust their internal states and outward actions to align with socially acceptable norms and long-term goals. It plays a fundamental role in adaptive functioning, from resisting impulsive behaviors to persisting through challenging tasks. While its benefits are widely recognized, self-regulation is not limitless. Muraven and Baumeister's theory posits that...
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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

The interactive effects of task difficulty and learning environment on self-regulated learning.

Bufan Zhang1

  • 1Department of Letters & Science, University of California, Berkeley, Berkeley, CA, 94720, USA.

Acta Psychologica
|June 28, 2026
PubMed
Summary
This summary is machine-generated.

Instructional prompts do not consistently improve learning accuracy. Instead, prompts may enhance processing efficiency, with effectiveness depending on the learning environment and task difficulty for students.

Keywords:
Cognitive loadMultimedia learningPromptingSelf-regulated learningTask difficulty

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Area of Science:

  • Educational Psychology
  • Cognitive Science
  • Learning Sciences

Background:

  • Self-regulated learning (SRL) is crucial for academic success.
  • Instructional prompts are commonly used to support SRL.
  • Existing research on prompt effectiveness is inconsistent.

Purpose of the Study:

  • To investigate the conditional effectiveness of instructional prompts.
  • To examine the interactive effects of SRL ability, learning environment, and task difficulty on prompt efficacy.
  • To clarify when and how prompts enhance learning outcomes.

Main Methods:

  • A mixed experimental design with 110 university students.
  • Factors included learning environment (text vs. multimedia), SRL level (high vs. low), prompting (prompted vs. non-prompted), and test difficulty (easy, medium, difficult).
  • Analyzed accuracy (ACC) and reaction time (RT) using four-way repeated-measures ANOVAs.

Main Results:

  • Prompting did not significantly impact accuracy (ACC).
  • Prompting showed effects on reaction time (RT), suggesting impacts on processing efficiency.
  • Learning environment and task difficulty interacted, influencing RT, especially with multimedia materials.

Conclusions:

  • The effectiveness of instructional prompts is conditional, not universal.
  • Prompts may influence processing efficiency rather than direct learning accuracy.
  • Optimal prompt design requires consideration of the learning context and task demands.