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Investigating the Efficacy of Partial Decomposition in Kit-Build Concept Maps for Reducing Cognitive Load and Enhancing Reading Comprehension

  • Nawras Khudhur*
  • , Aryo Pinandito
  • , Yusuke Hayashi
  • , Tsukasa Hirashima
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study investigates the efficacy of a partial decomposition approach in concept map recomposition tasks to reduce cognitive load while maintaining the benefits of traditional recomposition approaches. Prior research has demonstrated that concept map recomposition, involving the rearrangement of unconnected concepts and links, can enhance reading comprehension. However, this task often imposes a significant burden on learners’ working memory. To address this challenge, this study proposes a partial recomposition approach where learners are tasked with recomposing only a portion of the concept map, thereby reducing the problem space. The proposed approach aims at lowering the cognitive load while maintaining the benefits of traditional recomposition task, that is, learning effect and motivation. To investigate the differences in cognitive load, learning effect, and motivation between the full decomposition (the traditional approach) and partial decomposition (the proposed approach), we have conducted an experiment (N=78) where the participants were divided into two groups of “full decomposition” and “partial decomposition”. The full decomposition group was assigned the task of recomposing a concept map from a set of unconnected concept nodes and links, while the partial decomposition group worked with partially connected nodes and links. The experimental results show a significant reduction in the embedded cognitive load of concept map recomposition across different dimensions while learning effect and motivation remained similar between the conditions. On the basis of these findings, educators are recommended to incorporate partially disconnected concept maps in recomposition tasks to optimize time management and sustain learner motivation. By implementing this approach, instructors can conserve cognitive resources and allocate saved energy and time to other activities that enhance the overall learning process.

Original languageEnglish
Pages (from-to)714-727
Number of pages14
JournalIEICE Transactions on Information and Systems
VolumeE107.D
Issue number5
DOIs
Publication statusPublished - May 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • cognitive load
  • concept map
  • flow state
  • partial solution
  • reading comprehension
  • recomposition

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