Proposing a Collaborative Multi-agents System for English Learning Support

被引:0
|
作者
Nakata, Tetsufumi [1 ]
Ayedoun, Emmanuel [2 ]
Tokumaru, Masataka [2 ]
机构
[1] Kansai Univ, Grad Sch Sci & Engn, Suita, Osaka, Japan
[2] Kansai Univ, Fac Engn Sci, Suita, Osaka, Japan
关键词
Learning by teaching; Teachable agent; Collaborative learning; English learning;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Collaborative learning has been as advocated as a promising approach for stimulating higher achievement among learners. However, its benefits can only be maximized in active and cooperative teams. In this paper, we propose a collaborative English learning environment where the learner teams up with two computer-driven agents. In the proposed system, depending on the learning stage, learners and agents fulfil different roles, thereby offering learners the opportunity to not only observe but also teach and get taught by agents in a collaborative fashion. We conducted a preliminary evaluation experiment of the proposed system, and obtained results tend to confirm the meaningfulness of the proposed approach for enhancing learners' engagement towards learning.
引用
收藏
页码:547 / 552
页数:6
相关论文
共 50 条
  • [21] Collaborative distance education platform research based on multi-agents
    Wang Chunzhi
    Wei Feifei
    Advanced Computer Technology, New Education, Proceedings, 2007, : 1154 - 1161
  • [22] Clinical decision support with IM-agents and ERMA multi-agents
    Mabry, SL
    Hug, CR
    Roundy, RC
    17TH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS, 2004, : 242 - 247
  • [23] Network Management using Multi-Agents System
    Isaza, Gustavo
    Mejia, Maria H.
    Castillo, Luis
    Morales, Adriana
    Duque, Nestor
    ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2012, 1 (03): : 49 - 54
  • [24] Extended-UML for multi-agents system
    Wang, L
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 4873 - 4876
  • [25] An evolutionary rulebase based multi-agents system
    Ouchiyama, Hiroshi
    Huang, Runhe
    Ma, Jianhua
    EMERGENT INTELLIGENCE OF NETWORKED AGENTS, 2007, 56 : 203 - +
  • [26] A Multi-agents System for Analysis and Diagnosis of SMEs
    Zanni-Merk, Cecilia
    Almiron, Santiago
    Renaud, Dominique
    AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, 2011, 6682 : 103 - 112
  • [27] Optimization algorithm using multi-agents and reinforcement learning
    Kobayashi, Y
    Aiyoshi, E
    CEC2004: PROCEEDINGS OF THE 2004 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2004, : 63 - 68
  • [28] A review of research on reinforcement learning algorithms for multi-agents
    Hu, Kai
    Li, Mingyang
    Song, Zhiqiang
    Xu, Keer
    Xia, Qingfeng
    Sun, Ning
    Zhou, Peng
    Xia, Min
    NEUROCOMPUTING, 2024, 599
  • [29] A Shaped-Q Learning for Multi-Agents Systems
    Hwang, Kao-Shing
    Jiang, Wei-Cheng
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 2024 - 2027
  • [30] Vision-inertial collaborative localization of multi-agents with remote interaction
    Liu, Chang
    Zhao, Jin
    Sun, Nianyi
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2024, 36 (03)