Development and Evaluation of a Game-Based Bayesian Intelligent Tutoring System for Teaching Programming

Hooshyar, Danial and Ahmad, Rodina and Wang, Minhong and Yousefi, Moslem and Fathi, Moein and Lim, Heuiseok (2018) Development and Evaluation of a Game-Based Bayesian Intelligent Tutoring System for Teaching Programming. Journal of Educational Computing Research, 56 (6). pp. 775-801. ISSN 0735-6331

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Official URL: https://doi.org/10.1177/0735633117731872

Abstract

Games 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.

Item Type: Article
Uncontrolled Keywords: Bayesian network; computer programming; game-based environment; intelligent tutoring system; online information searching
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science & Information Technology > Dept of Software Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 08 Aug 2019 01:01
Last Modified: 08 Aug 2019 01:01
URI: http://eprints.um.edu.my/id/eprint/21881

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