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Exploring the learning effect on serial concept mapping with expert map sharing approach
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AI
DOI：10.1080/2331186X.2025.2563161.png)
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Abstract
En 中文
This study explores the effectiveness of two concept mapping methods - re-composition and scratch-building - within a serial concept mapping framework enhanced by expert map sharing. Serial concept mapping integrates maps from consecutive classes into a cumulative structure, facilitating incremental knowledge development. Expert map sharing involves providing teacher-created maps representing a well-structured understanding of lecture content, shared after students create their own maps to reinforce comprehension. A comparative experiment was conducted over three weeks in six human-computer interaction (HCI) classes, involving 158 participants: three classes using the re-composition method (n=56) and three using the scratch-building method (n=102). The re-composition method provided predefined concepts and links extracted from the expert map, supporting alignment with learning objectives and reducing cognitive load. In contrast, the scratch-building method allowed for free map creation, fostering creativity but risking conceptual misalignment. While both groups showed comparable progress during weekly activities, result suggest that the re-composition method may enable better knowledge organization, as evidenced by statistically significant improvements in both overall scores (p=0.03) and higher-order thinking (HOT) performance (p=0.001) on summative tests, particularly for map-based content. These findings highlight the potential of re-composition method, combined with expert map sharing, as a promising approach for enhancing learning outcomes in serial concept mapping.
Keywords:
Concept map
serial concept map
re-composition
expert map sharing
knowledge representation
learning outcomes
Technology
Computer Science
Artificial Intelligence
Human-Computer Intelligence
Legal, Ethical & Social Aspects of IT
Human-Computer Interaction
Journal
C
IF:
2
Papers:
817
Citations:
3.4K