QuizMASter - A multi-agent game-style learning activity

Mark Dutchuk; Khalid Aziz Muhammadi; Fuhua Lin

doi:10.1007/978-3-642-03364-3_32

QuizMASter - A multi-agent game-style learning activity

Mark Dutchuk, Khalid Aziz Muhammadi, Fuhua Lin

School of Computing and Information systems

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

15 Citations (Scopus)

Abstract

This paper describes a research project in progress of developing a Multi-Agent System-based educational game QuizMASter for e-learning that would help students learn their course material through friendly competition. We explore the use of perceptive pedagogical agents that would be able to determine the learner's attitudes; to assess learners' emotional states through examining learner's standing, response timing, and history, and banter; and to provide appropriate feedback to students in order to motivate them.

Original language	English
Title of host publication	Learning by Playing
Subtitle of host publication	Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings
Pages	263-272
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-03364-3_32
Publication status	Published - 2009
Event	4th International Conference on E-Learning and Games, Edutainment 2009 - Banff, AB, Canada Duration: 9 Aug. 2009 → 11 Aug. 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5670 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on E-Learning and Games, Edutainment 2009
Country/Territory	Canada
City	Banff, AB
Period	9/08/09 → 11/08/09

Keywords

Agents
E-learning
Edutainment
Game-based learning
Pedagogy
Virtual game-show
Virtual learning environment

Access to Document

10.1007/978-3-642-03364-3_32

Cite this

Dutchuk, M., Muhammadi, K. A., & Lin, F. (2009). QuizMASter - A multi-agent game-style learning activity. In Learning by Playing: Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings (pp. 263-272). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5670 LNCS). https://doi.org/10.1007/978-3-642-03364-3_32

Dutchuk, Mark ; Muhammadi, Khalid Aziz ; Lin, Fuhua. / QuizMASter - A multi-agent game-style learning activity. Learning by Playing: Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings. 2009. pp. 263-272 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper describes a research project in progress of developing a Multi-Agent System-based educational game QuizMASter for e-learning that would help students learn their course material through friendly competition. We explore the use of perceptive pedagogical agents that would be able to determine the learner's attitudes; to assess learners' emotional states through examining learner's standing, response timing, and history, and banter; and to provide appropriate feedback to students in order to motivate them.",

keywords = "Agents, E-learning, Edutainment, Game-based learning, Pedagogy, Virtual game-show, Virtual learning environment",

author = "Mark Dutchuk and Muhammadi, {Khalid Aziz} and Fuhua Lin",

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doi = "10.1007/978-3-642-03364-3_32",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Dutchuk, M, Muhammadi, KA & Lin, F 2009, QuizMASter - A multi-agent game-style learning activity. in Learning by Playing: Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5670 LNCS, pp. 263-272, 4th International Conference on E-Learning and Games, Edutainment 2009, Banff, AB, Canada, 9/08/09. https://doi.org/10.1007/978-3-642-03364-3_32

QuizMASter - A multi-agent game-style learning activity. / Dutchuk, Mark; Muhammadi, Khalid Aziz; Lin, Fuhua.
Learning by Playing: Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings. 2009. p. 263-272 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5670 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

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AB - This paper describes a research project in progress of developing a Multi-Agent System-based educational game QuizMASter for e-learning that would help students learn their course material through friendly competition. We explore the use of perceptive pedagogical agents that would be able to determine the learner's attitudes; to assess learners' emotional states through examining learner's standing, response timing, and history, and banter; and to provide appropriate feedback to students in order to motivate them.

KW - Agents

KW - E-learning

KW - Edutainment

KW - Game-based learning

KW - Pedagogy

KW - Virtual game-show

KW - Virtual learning environment

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DO - 10.1007/978-3-642-03364-3_32

M3 - Published Conference contribution

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SN - 3642033636

SN - 9783642033636

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Dutchuk M, Muhammadi KA, Lin F. QuizMASter - A multi-agent game-style learning activity. In Learning by Playing: Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings. 2009. p. 263-272. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-03364-3_32

QuizMASter - A multi-agent game-style learning activity

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