A Wiki with Multiagent Tracking, Modeling, and Coalition Formation

N. Khandaker, Leen-Kiat Soh
{"title":"A Wiki with Multiagent Tracking, Modeling, and Coalition Formation","authors":"N. Khandaker, Leen-Kiat Soh","doi":"10.1609/aaai.v24i2.18816","DOIUrl":null,"url":null,"abstract":"Wikis are being increasingly used as a tool for conducting colla-borative writing assignments in today’s classrooms. However, Wikis in general (1) do not provide group formation methods to more specifically facilitate collaborative learning of the students and (2) suffer from typical problems of collaborative learning like detection of free-riding (earning credit without contribution). To improve the state of the art of the use of Wikis as a collaborative writing tool, we have designed and implemented ClassroomWiki - a Web-based collaborative Wiki that utilizes a set of learner pedagogy theories to provide multiagent-based tracking, modeling, and group formation functionalities. For the students, ClassroomWiki provides a Web interface for writing and revising their group’s Wiki and a topic-based forum for discussing their ideas during collaboration. When the students collaborate, ClassroomWiki’s agents track all student activities to learn a model of the students and use a Bayesian Network to learn a probabilistic mapping that describes the ability of a group of students with a specific set of models to work together. For the teacher, Clas-sroomWiki provides a framework that uses the learned student models and the mapping to form student groups to improve the collaborative learning of students. ClassroomWiki was deployed in three university-level courses and the results suggest that ClassroomWiki can (1) form better student groups that improve stu-dent learning and collaboration and (2) alleviate free-riding and allow the instructor to provide scaffolding by its multiagent-based tracking and modeling.","PeriodicalId":408078,"journal":{"name":"Conference on Innovative Applications of Artificial Intelligence","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Innovative Applications of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1609/aaai.v24i2.18816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Wikis are being increasingly used as a tool for conducting colla-borative writing assignments in today’s classrooms. However, Wikis in general (1) do not provide group formation methods to more specifically facilitate collaborative learning of the students and (2) suffer from typical problems of collaborative learning like detection of free-riding (earning credit without contribution). To improve the state of the art of the use of Wikis as a collaborative writing tool, we have designed and implemented ClassroomWiki - a Web-based collaborative Wiki that utilizes a set of learner pedagogy theories to provide multiagent-based tracking, modeling, and group formation functionalities. For the students, ClassroomWiki provides a Web interface for writing and revising their group’s Wiki and a topic-based forum for discussing their ideas during collaboration. When the students collaborate, ClassroomWiki’s agents track all student activities to learn a model of the students and use a Bayesian Network to learn a probabilistic mapping that describes the ability of a group of students with a specific set of models to work together. For the teacher, Clas-sroomWiki provides a framework that uses the learned student models and the mapping to form student groups to improve the collaborative learning of students. ClassroomWiki was deployed in three university-level courses and the results suggest that ClassroomWiki can (1) form better student groups that improve stu-dent learning and collaboration and (2) alleviate free-riding and allow the instructor to provide scaffolding by its multiagent-based tracking and modeling.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有多智能体跟踪、建模和联盟形成的Wiki
在今天的课堂上,维基越来越多地被用作进行协作写作作业的工具。然而,wiki总体上(1)没有提供更具体地促进学生协作学习的小组形成方法,(2)存在典型的协作学习问题,如发现搭便车(不贡献而获得学分)。为了提高Wiki作为协作写作工具的使用水平,我们设计并实现了ClassroomWiki——一个基于web的协作Wiki,它利用一套学习者教学法理论来提供基于多主体的跟踪、建模和组形成功能。对于学生来说,ClassroomWiki提供了一个编写和修改小组Wiki的Web界面,以及一个基于主题的论坛,用于在合作期间讨论他们的想法。当学生合作时,ClassroomWiki的代理跟踪所有学生的活动,以学习学生的模型,并使用贝叶斯网络学习概率映射,该映射描述了一组具有特定模型集的学生一起工作的能力。对于教师来说,classes - sroomwiki提供了一个框架,该框架使用已学习的学生模型和映射来形成学生小组,以提高学生的协作学习。在三门大学水平的课程中部署了ClassroomWiki,结果表明,ClassroomWiki可以(1)形成更好的学生群体,提高学生的学习和协作能力;(2)减轻搭便车现象,并允许教师通过其基于多智能体的跟踪和建模来提供脚手架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Detection and Prediction of Adverse and Anomalous Events in Medical Robots Early Prediction of Coronary Artery Calcification Levels Using Machine Learning Scalable Randomized Patrolling for Securing Rapid Transit Networks The Deployment of a Constraint-Based Dental School Timetabling System USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1