The development of an adaptive group composition system on facebook for collaborative learning using an artificial bee colony algorithm

Chia Cheng Hsu, Hsin Chin Chen, Kuo Hsin Huang, Kuo Kuang Huang, Yueh Min Huang

研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)

摘要

Facebook, the most popular social networking site, has recently been applied in a wide variety of fields for educational purposes. The social network site provides some social features such as communication methods, individual profiles, and personal posts that are shared with friends. Although learners can obtain lots of knowledge and improve their learning performance through discussions with friends in a social networking site, a learning group may not enhance learning performance in learning activities for specific courses. This study proposes an adaptive group composition system on Facebook to support adaptive group learning based on the background knowledge of individuals in a computer science project for college students. The system collects learner profile data automatically using Facebook and analyzes main course topics and professional abilities. This system utilizes an artificial bee colony algorithm to optimize group composing of students. Experimental results indicate that the proposed method improves the grouping process and enables students to achieve better performance.

原文English
頁(從 - 到)157-164
頁數8
期刊Applied Mathematics and Information Sciences
8
發行號1 L
DOIs
出版狀態Published - 2014 四月

All Science Journal Classification (ASJC) codes

  • 分析
  • 數值分析
  • 電腦科學應用
  • 計算機理論與數學
  • 應用數學

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