Intelligent web-based experiment management system using multi-agent concept

Yang, G; Dai, Y; Zhao, H; Hirota, K; Lu, H

Intelligent web-based experiment management system using multi-agent concept

Yang, G Dai, Y Zhao, H Hirota, K Lu, H

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Publication Type:: Conference Proceeding
Citation:: Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017, 2017-January pp. 8508 - 8514
Issue Date:: 2017-12-15

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Field	Value	Language
dc.contributor.author	Yang, G	en_US
dc.contributor.author	Dai, Y	en_US
dc.contributor.author	Zhao, H	en_US
dc.contributor.author	Hirota, K	en_US
dc.contributor.author	Lu, H https://orcid.org/0000-0001-5655-0237	en_US
dc.date.issued	2017-12-15	en_US
dc.identifier.citation	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017, 2017-January pp. 8508 - 8514	en_US
dc.identifier.isbn	9781538611272	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126647
dc.description.abstract	© 2017 IEEE. Many web-based online learning systems focus more on textual and/or image based content delivery without including experiment systems, or if included they are usually operated under pre-defined conditions, such as fixed scenarios and pre-determined delivery orders. These limitations hinder personalized learning and collaboration between students and discourage student engagement. To circumvent these limitations, an Intelligent Web-based Experiment Management System (IWEMS) using multi-agent concept is presented. In the system, three kinds of software agents are used: (i) Student-Agent, responsible for assessing the knowledge levels of students. A fuzzy set based algorithm is used and the results are plotted through a dynamic polar chart; (ii) Teacher-Agent, responsible for tracking experiment progress of each student and recommending personalized the next-to-do experiment to him or her; and (iii) Co-Agent, responsible for group formation based on similar knowledge levels to facilitate collaborative learning between students. A prototype of this system is developed using a Java Agent Development Framework(JADE), where a client/server architecture and a MySQL database are used. It demonstrates the validity of the design and effectiveness of this system's functionality, achieves the personalization recommendation of next-to-do experiment and collaborative learning environment.	en_US
dc.relation.ispartof	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society	en_US
dc.relation.isbasedon	10.1109/IECON.2017.8217494	en_US
dc.title	Intelligent web-based experiment management system using multi-agent concept	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-January	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2017-January	en_US

Abstract:

© 2017 IEEE. Many web-based online learning systems focus more on textual and/or image based content delivery without including experiment systems, or if included they are usually operated under pre-defined conditions, such as fixed scenarios and pre-determined delivery orders. These limitations hinder personalized learning and collaboration between students and discourage student engagement. To circumvent these limitations, an Intelligent Web-based Experiment Management System (IWEMS) using multi-agent concept is presented. In the system, three kinds of software agents are used: (i) Student-Agent, responsible for assessing the knowledge levels of students. A fuzzy set based algorithm is used and the results are plotted through a dynamic polar chart; (ii) Teacher-Agent, responsible for tracking experiment progress of each student and recommending personalized the next-to-do experiment to him or her; and (iii) Co-Agent, responsible for group formation based on similar knowledge levels to facilitate collaborative learning between students. A prototype of this system is developed using a Java Agent Development Framework(JADE), where a client/server architecture and a MySQL database are used. It demonstrates the validity of the design and effectiveness of this system's functionality, achieves the personalization recommendation of next-to-do experiment and collaborative learning environment.

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http://hdl.handle.net/10453/126647