QuizMASter – A Multi-Agent Game-Style Learning Activity

dc.contributor.author	Lin, Fuhua (Oscar)
dc.date.accessioned	2009-08-12T15:39:52Z
dc.date.available	2009-08-12T15:39:52Z
dc.date.issued	2009-08-12T15:39:52Z
dc.identifier.uri	http://hdl.handle.net/2149/2281
dc.description	The research paper proposes a practical and promising game-based learning pattern which may create a new direction on how to create an effective game-based learning. The agent-based technologies can be generalized to generic online learning systems The future work proposed in the paper is interesting. More work on functionality testing and integration with Moodle and other existing systems and 3D environments should be done.	en
dc.description.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.	en
dc.language.iso	en	en
dc.relation.ispartofseries	92.927.G1150;
dc.subject	Mult-agent System-based	en
dc.subject	QuizMASter	en
dc.subject	E-learning	en
dc.subject	Perceptive Pedagogical Agents	en
dc.title	QuizMASter – A Multi-Agent Game-Style Learning Activity	en
dc.type	Presentation	en