Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics

Jingyun Wang, Kentaro Kojima

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

In this paper, we present a mathematical model for forming heterogeneous groups of learners under different teaching strategies. This model requires a formulation which can effectively predict the learning performance of cooperative learning groups. Therefore, we explore the correlations between learning performance and various learner characteristics including learning motivation, learning strategy use, learning styles and gender based on real-world data. By means of analyzing learner data of 157 students in a cooperative learning course, learner attributes irrelevant to cooperative learning performance are excluded from the formulation; this sharply decreases the workload of group formation calculation. In future work, a tool will be implemented based on this adjustable mathematical model and this tool will be used in daily teaching to evaluate its effectiveness.

本文言語英語
ホスト出版物のタイトルProceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ288-293
ページ数6
ISBN(電子版)9781538674475
DOI
出版ステータス出版済み - 7 2 2018
イベント7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 - Yonago, 日本
継続期間: 7 8 20187 13 2018

出版物シリーズ

名前Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018

会議

会議7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
Country日本
CityYonago
Period7/8/187/13/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication
  • Information Systems
  • Information Systems and Management
  • Education

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