File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Development and evaluation of a game-based bayesian intelligent tutoring system for teaching programming

TitleDevelopment and evaluation of a game-based bayesian intelligent tutoring system for teaching programming
Authors
KeywordsBayesian network
computer programming
game-based environment
intelligent tutoring system
online information searching
Issue Date2018
PublisherSage Publications, Inc. The Journal's web site is located at https://us.sagepub.com/en-us/nam/journal-of-educational-computing-research/journal202399
Citation
Journal of Educational Computing Research, 2018, v. 56 n. 6, p. 775-801 How to Cite?
AbstractGames with educational purposes usually follow a computer-assisted instruction concept that is predefined and rigid, offering no adaptability to each student. To overcome such problem, some ideas from Intelligent Tutoring Systems have been used in educational games such as teaching introductory programming. The objective of this study was to advance Online Game-based Bayesian Intelligent Tutoring System (OGITS) to enhance programming acquisition and online information searching skills, thus improving students’ ability in web-based problem solving through board games. The study sample comprised 79 college students in introductory level Computer Science classes. Qualitative and quantitative data were then gathered. Results of this study revealed generally favorable opinions about OGITS. As OGITS targets individual knowledge acquisition of computer programming and web-based problem-solving skills, it offers a suitable learning environment for students both as a stand-alone course and as a supplement to traditional classroom settings. © The Author(s) 2017.
Persistent Identifierhttp://hdl.handle.net/10722/252081
ISSN
2023 Impact Factor: 4.0
2023 SCImago Journal Rankings: 1.792
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHooshyar, D-
dc.contributor.authorAhmad, RB-
dc.contributor.authorWang, M-
dc.contributor.authorYousefi, M-
dc.contributor.authorLim, H-
dc.date.accessioned2018-04-10T04:45:43Z-
dc.date.available2018-04-10T04:45:43Z-
dc.date.issued2018-
dc.identifier.citationJournal of Educational Computing Research, 2018, v. 56 n. 6, p. 775-801-
dc.identifier.issn0735-6331-
dc.identifier.urihttp://hdl.handle.net/10722/252081-
dc.description.abstractGames with educational purposes usually follow a computer-assisted instruction concept that is predefined and rigid, offering no adaptability to each student. To overcome such problem, some ideas from Intelligent Tutoring Systems have been used in educational games such as teaching introductory programming. The objective of this study was to advance Online Game-based Bayesian Intelligent Tutoring System (OGITS) to enhance programming acquisition and online information searching skills, thus improving students’ ability in web-based problem solving through board games. The study sample comprised 79 college students in introductory level Computer Science classes. Qualitative and quantitative data were then gathered. Results of this study revealed generally favorable opinions about OGITS. As OGITS targets individual knowledge acquisition of computer programming and web-based problem-solving skills, it offers a suitable learning environment for students both as a stand-alone course and as a supplement to traditional classroom settings. © The Author(s) 2017.-
dc.languageeng-
dc.publisherSage Publications, Inc. The Journal's web site is located at https://us.sagepub.com/en-us/nam/journal-of-educational-computing-research/journal202399-
dc.relation.ispartofJournal of Educational Computing Research-
dc.rightsJournal of Educational Computing Research. Copyright © Sage Publications, Inc.-
dc.subjectBayesian network-
dc.subjectcomputer programming-
dc.subjectgame-based environment-
dc.subjectintelligent tutoring system-
dc.subjectonline information searching-
dc.titleDevelopment and evaluation of a game-based bayesian intelligent tutoring system for teaching programming-
dc.typeArticle-
dc.identifier.emailWang, M: magwang@hku.hk-
dc.identifier.authorityWang, M=rp00967-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1177/0735633117731872-
dc.identifier.scopuseid_2-s2.0-85053593964-
dc.identifier.hkuros284798-
dc.identifier.volume56-
dc.identifier.issue6-
dc.identifier.spage775-
dc.identifier.epage801-
dc.identifier.isiWOS:000443976500001-
dc.publisher.placeUnited States-
dc.identifier.issnl0735-6331-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats