Exploring the learning effect on serial concept mapping with expert map sharing approach

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 ([Formula: see text]) and three using the scratch-building method ([Formula: see text]). 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 ([Formula: see text]) and higher-order thinking (HOT) performance ([Formula: see text]) 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.

Authors

Institutions

Publication Details

Journal
Cogent Education
Published
2025-09-25
DOI
https://doi.org/10.1080/2331186x.2025.2563161
Primary Topic
Visual and Cognitive Learning Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the learning effect on serial concept mapping with expert map sharing approach

Lia Sadita, Harry Budi Santoso, Rian Fitriansyah, Tsukasa Hirashima et al.
Cogent Education
Visual and Cognitive Learning Processes
article

Exploring the learning effect on serial concept mapping with expert map sharing approach

Lia Sadita, Harry Budi Santoso, Rian Fitriansyah, Tsukasa Hirashima, Yusuke Hayashi, Sri Nurhayati
article en

Abstract

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 ([Formula: see text]) and three using the scratch-building method ([Formula: see text]). 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 ([Formula: see text]) and higher-order thinking (HOT) performance ([Formula: see text]) 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.

Cogent EducationVol. 12(1)
Hiroshima University (JP), University of Indonesia (ID)
Openalex Percentile: Top 73%
Visual and Cognitive Learning Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.