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A multi-agent system for computer science education

Authors:

Hongchi Shi,

Yi Shang,

Su-Shing ChenAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 32, Issue 3

Pages 1 - 4

https://doi.org/10.1145/353519.343051

Published: 13 July 2000 Publication History

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Abstract

In this paper, we present a multi-agent system for supporting student-centered, self-paced, and highly interactive learning in undergraduate computer science education. The system is based on a hybrid problem-based and case-based learning model, for both creative problem solving and mechanical experience simulation. It aims at enhancing the effectiveness of the undergraduate learning experience in computer science. Implemented using the prevalent Internet, Web, and digital library technologies, the system adopts an open architecture design and targets at large-scale, distributed operations. In the initial implementation of the system, a number of prototypes using different Java-based software environments have been developed. They offer tradeoffs in system performance and design complexity.

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Cited By

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Asthana PHazela B(2019)Applications of Machine Learning in Improving Learning EnvironmentMultimedia Big Data Computing for IoT Applications10.1007/978-981-13-8759-3_16(417-433)Online publication date: 18-Jul-2019
https://doi.org/10.1007/978-981-13-8759-3_16
Aseere AMillard DGerding E(2011)An Agent Based Voting System for E-Learning Course Selection Involving Complex PreferencesProceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 0210.1109/WI-IAT.2011.238(386-393)Online publication date: 22-Aug-2011
https://dl.acm.org/doi/10.1109/WI-IAT.2011.238
Aseere AMillard DGerding E(2010)Ultra-personalization and decentralizationProceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice10.5555/1889250.1889255(30-45)Online publication date: 28-Sep-2010
https://dl.acm.org/doi/10.5555/1889250.1889255
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Index Terms

A multi-agent system for computer science education
1. Applied computing
  1. Education
2. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence

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Information

Published In

ACM SIGCSE Bulletin Volume 32, Issue 3

Sept. 2000

229 pages

ISSN:0097-8418

DOI:10.1145/353519

Editor:
John Impagliazzo
Hofstra Univ., Hempstead, New York

Issue’s Table of Contents

ITiCSE '00: Proceedings of the 5th annual SIGCSE/SIGCUE ITiCSEconference on Innovation and technology in computer science education
July 2000
197 pages
ISBN:1581132077
DOI:10.1145/343048
Chairmen:
Jorma Tarhio
Univ. of Joensuu, Joensuu,Finland
,
Sally Fincher
Univ. of Kent at Canterbury, Canterbury, UK
,
Daniel Joyce
Villanova Univ., Villanova, PA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 July 2000

Published in SIGCSE Volume 32, Issue 3

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Asthana PHazela B(2019)Applications of Machine Learning in Improving Learning EnvironmentMultimedia Big Data Computing for IoT Applications10.1007/978-981-13-8759-3_16(417-433)Online publication date: 18-Jul-2019
https://doi.org/10.1007/978-981-13-8759-3_16
Aseere AMillard DGerding E(2011)An Agent Based Voting System for E-Learning Course Selection Involving Complex PreferencesProceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 0210.1109/WI-IAT.2011.238(386-393)Online publication date: 22-Aug-2011
https://dl.acm.org/doi/10.1109/WI-IAT.2011.238
Aseere AMillard DGerding E(2010)Ultra-personalization and decentralizationProceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice10.5555/1889250.1889255(30-45)Online publication date: 28-Sep-2010
https://dl.acm.org/doi/10.5555/1889250.1889255
Aseere AGerding EMillard D(2010)A Voting-Based Agent System for Course Selection in E-LearningProceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 0210.1109/WI-IAT.2010.230(303-310)Online publication date: 31-Aug-2010
https://dl.acm.org/doi/10.1109/WI-IAT.2010.230
Aseere AMillard DGerding E(2010)Ultra-Personalization and Decentralization: The Potential of Multi-Agent Systems in Personal and Informal LearningSustaining TEL: From Innovation to Learning and Practice10.1007/978-3-642-16020-2_3(30-45)Online publication date: 2010
https://doi.org/10.1007/978-3-642-16020-2_3
Shi HShang YRodriguez OChen S(2009)Integrating Adaptive and Intelligent Techniques into a Web-Based Environment for Active LearningIntelligent Systems10.1201/9781420040814.Ch10dOnline publication date: 11-Dec-2009
https://doi.org/10.1201/9781420040814.Ch10d
Demmings BShakshuki EMuldner T(2007)AETAProceedings of the International Conference on Information Technology10.1109/ITNG.2007.28(616-621)Online publication date: 2-Apr-2007
https://dl.acm.org/doi/10.1109/ITNG.2007.28
Pardo A(2002)A multi-agent platform for automatic assignment managementACM SIGCSE Bulletin10.1145/637610.54443434:3(60-64)Online publication date: 24-Jun-2002
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Pardo ACaspersen MJoyce DGoelman DUtting I(2002)A multi-agent platform for automatic assignment managementProceedings of the 7th annual conference on Innovation and technology in computer science education10.1145/544414.544434(60-64)Online publication date: 24-Jun-2002
https://dl.acm.org/doi/10.1145/544414.544434

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Motivational active learning for computer science education (abstract only)

Mastery Learning in Computer Science Education

Tips for Effective Blended Learning for Computer Science Education

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