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chen-2024-cognitive-load.pdf12 pages
Lecture 12: Working Memory.m4a47 min
CHI 2024 Keynote: Adaptive LearningYouTube
arxiv.org/abs/2401.12345Web
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Field notes: Interview #14Text

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Summary

This meta-analysis examines the relationship between cognitive load theory and multimedia learning across 47 empirical studies (2018–2024). The authors identify three key moderating variables that influence learning outcomes in digital environments…

Key Findings

  • Redundancy effect reduces retention by 23% (p < .001)
  • Worked examples outperform problem-solving for novices
  • Spatial contiguity effect confirmed (d = 0.72)

Concepts

Cognitive loadRedundancy effectSplit-attentionWorked examplesMultimedia learning

Cross-Source Synthesis

5 sources

Literature Review: Cognitive Load in Digital Learning

Several studies have examined the relationship between cognitive load and multimedia design in higher education (Chen et al., 2024; Park & Lee, 2023). The evidence converges on three principles: reduce extraneous load through spatial contiguity, manage intrinsic load via segmenting, and leverage germane load through worked examples.

Notably, Rivera (2024) found contradictory results in mobile learning contexts, suggesting that screen size moderates the split-attention effect. This aligns with Kim & Zhang (2023)'s finding that touch-based interaction changes how learners integrate visual and textual information.

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What methodology did Chen et al. use?

Chen et al. (2024) conducted a systematic meta-analysis following PRISMA guidelines. They analyzed 47 empirical studies published between 2018–2024, using random-effects models with Hedges' g as the effect size measure.

Real Citations

APA 7th

Chen, L., Park, S., & Rivera, M. (2024). Cognitive load and multimedia learning: A meta-analysis. Journal of Educational Psychology, 116(3), 412–431.

BibTeX

@article{chen2024cognitive,
  title={Cognitive load and ...},
  author={Chen and Park and Rivera},
  journal={J. Educ. Psych.},
  year={2024}
}

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3.2 Implications for Mobile Learning

The findings suggest that cognitive load principles require reexamination in mobile contexts (Rivera, 2024). Specifically, the split-attention effect appears to be moderated by…

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