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

被引:2
|
作者
Pinandito A. [1 ,3 ]
Prasetya D.D. [2 ,3 ]
Hayashi Y. [3 ]
Hirashima T. [3 ]
机构
[1] Hiroshima University, Higashihiroshima, Japan Universitas Brawijaya, Malang
[2] Hiroshima University, Higashihiroshima, Japan Universitas Negeri Malang, Malang
[3] Hiroshima University, Higashihiroshima
基金
日本学术振兴会;
关键词
Accuracy; concept map; Concept Map Mining; EFL; Kit-Build;
D O I
10.3991/ijim.v15i08.20489
中图分类号
学科分类号
摘要
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. Students learn through recomposing digital concept maps from a set of teacher’s concept map components; hence, a teacher concept map is essential in Kit-Build. In composing a teacher concept map of Kit-Build, teachers should reflect the learning context and strategy, embody their purpose and intention, students’ understanding level, and focus questions in the forms of concept maps. Automatic generation approach produces general concept maps that are perceived to be unsuitable in corresponding said reasons; thus, a semiautomatic approach becomes preferred. The Kit-Build concept mapping tool has been extended with a support function that semi-automatically generates concept maps with Concept Map Mining approach. The design of the extraction and summarization phase of the concept map generation process, which suggests the extracted concepts and proposition triples to the teachers, is presented in this study. However, the accuracy of the support system’s suggestions has yet to be discovered before the tool being considered to be used in a real learning environment of EFL reading comprehension with Kit-Build and therefore investigated in this study. The result suggested that the proposed Kit-Build concept map authoring support tool is better used to refine a concept map in more detail. © 2021
引用
下载
收藏
页码:50 / 70
页数:20
相关论文
共 50 条
  • [31] Automatic concept map scoring framework using the semantic web technologies
    Park, Ungkyu
    Calvo, Rafael A.
    8TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS, 2008, : 238 - +
  • [32] SEMI-AUTOMATIC SYNTHETIC DEPTH MAP GENERATION FOR VIDEO USING RANDOM WALKS
    Rzeszutek, Richard
    Phan, Raymond
    Androutsos, Dimitrios
    2011 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2011,
  • [33] A web-based tool for the analysis of concept inventory data
    Beuckman, JP
    Franklin, SV
    Lindell, RS
    2004 Physics Education Research Conference, 2005, 790 : 189 - 192
  • [34] ICMAP: An interactive tool for concept map generation to facilitate learning process
    Fatemeh, Hendijanifard
    Ahmad, Kardan
    Mohammad, Dibay Moghadam
    WORLD CONFERENCE ON INFORMATION TECHNOLOGY (WCIT-2010), 2011, 3
  • [35] An Authoring Tool based on Semi-automatic Generators for Creating Self-assessment Exercises
    Guin, Nathalie
    Lefevre, Marie
    CSEDU: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED EDUCATION - VOL 1, 2022, : 181 - 188
  • [36] A Concept Map-Based Learning Paths Automatic Generation Algorithm for Adaptive Learning Systems
    Li, Yancong
    Shao, Zengzhen
    Wang, Xiao
    Zhao, Xuechen
    Guo, Yanhui
    IEEE ACCESS, 2019, 7 : 245 - 255
  • [37] Map4OLAP: A web-based tool for interactive map visualization of OLAP queries
    Bimonte, Sandro
    Edoh-Alove, Elodie
    Coulibaly, Fagnine Alassane
    2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, : 3747 - 3750
  • [38] A semi-automatic web based tool for the selection of research projects reviewers
    Pupella, Valeria
    Monteverde, Maria Eugenia
    Lombardo, Claudio
    Belardelli, Filippo
    Giacomini, Mauro
    E-HEALTH - FOR CONTINUITY OF CARE, 2014, 205 : 950 - 954
  • [39] An Efficient Data Mining Approach to Concept Map Generation for Adaptive Learning
    Huang, Xiaopeng
    Yang, Kyeong
    Lawrence, Victor B.
    ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS, ICDM 2015, 2015, 9165 : 247 - 260
  • [40] Research on a new automatic generation algorithm of concept map based on text analysis and association rules mining
    Shao, Zengzhen
    Li, Yancong
    Wang, Xiao
    Zhao, Xuechen
    Guo, Yanhui
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (02) : 539 - 551