Semi-Automatic Concept Map Generation Approach of Web-Based Kit-Build Concept Map Authoring Tool

Dublin Core

Title

Semi-Automatic Concept Map Generation Approach of Web-Based Kit-Build Concept Map Authoring Tool

Subject

concept map
Concept Map Mining
EFL
Kit-Build

Description

Apart from contributing to students’ learning outcomes, learning activities with digital concept maps were useful, fun, and engaging. Kit-Build concept map is a learning framework that incorporated concept map recomposition as its essential activity. It has been used to learn English as a Foreign Language (EFL) reading comprehension. Students learn through recomposing digital concept maps from a set of teacher’s concept map components; hence, the teacher’s concept map is essential in Kit-Build. A teacher’s concept map should reflect the learning context and strategy, the teacher’s purpose and intention, students’ understanding level, and focus questions. However, automatic-generated concept maps with Concept Map Mining (CMM) can only produce general concept maps that are not fit and difficult to correspond to said reasons. As teacher’s concept maps are essential in learning with Kit-Build, improving teachers’ productivity in composing concept maps of a particular learning material becomes necessary. This study proposed a semi-automatic concept map generation approach of EFL reading comprehension texts with CMM to assist teachers composed their concept maps. The proposed concept map generation approach was integrated into the current Kit-Build concept map authoring tool as an authoring support feature. The accuracy of the support feature in generating concept map components is presented in this research. The result suggested that the proposed authoring support tool is better used to refine a concept map.

Creator

Pinandito, Aryo
Prasetya, Didik Dwi
Hayashi, Yusuke
Hirashima, Tsukasa

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 08 (2021); pp. 50-70
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2021-04-23

Rights

Copyright (c) 2021 Aryo Pinandito, Didik Dwi Prasetya, Yusuke Hayashi, Tsukasa Hirashima

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Aryo Pinandito et al., Semi-Automatic Concept Map Generation Approach of Web-Based Kit-Build Concept Map Authoring Tool, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 22, 2024, https://igi.indrastra.com/items/show/1930

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