A personalized quiz game based on multi-agent system

Martin M. Weng, Jason C. Hung, Fuhua Lin, Timothy K. Shih

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The intelligent agent based systems have existed for many years, only recently its surge of mainstream popularity motivated researchers to acknowledge its educational value. With the increasing usage of educational games, using intelligent agents in the game to provide reliable personalized services has become more critical. Quiz game is a game genre which is easy to develop and doesn't have limitation to any subject and user group. Multi-agent based system is flexible and can save resource. This research designs a quiz game based on multi-agent architecture, the game is therefore so-called multi-agent based Quiz-MASter. Beside the quiz game, this paper also presents a framework of personalized assessment game. With the Quiz-MASter and the framework, the instructors can aware of students' playing status and experiences while the students playing the game and don't feel that they are taking exam/quiz at all.

Original languageEnglish
Title of host publicationNew Horizons in Web Based Learning - ICWL 2011 International Workshops KMEL, ELSM, and SPeL and ICWL 2012 International Workshops KMEL, SciLearn, and CCSTED, Revised Selected Papers
PublisherSpringer Verlag
Pages100-109
Number of pages10
ISBN (Print)9783662434536
DOIs
StatePublished - 2014
Event2012 International Workshops on Web-Based Learning, ICWL 2012 - KMEL, SciLearn, and CCSTED - Sinaia, Romania
Duration: 2 Sep 20124 Sep 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7697 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2012 International Workshops on Web-Based Learning, ICWL 2012 - KMEL, SciLearn, and CCSTED
Country/TerritoryRomania
CitySinaia
Period2/09/124/09/12

Keywords

  • Assessment game
  • Multi-Agent System
  • Personalized Assessment

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