TY - JOUR
T1 - Development and Evaluation of a Game-Based Bayesian Intelligent Tutoring System for Teaching Programming
AU - Hooshyar, Danial
AU - Binti Ahmad, Rodina
AU - Wang, Minhong
AU - Yousefi, Moslem
AU - Fathi, Moein
AU - Lim, Heui Seok
PY - 2018/10/1
Y1 - 2018/10/1
N2 - 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.
AB - 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.
KW - Bayesian network
KW - computer programming
KW - game-based environment
KW - intelligent tutoring system
KW - online information searching
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U2 - 10.1177/0735633117731872
DO - 10.1177/0735633117731872
M3 - Article
AN - SCOPUS:85053593964
VL - 56
SP - 775
EP - 801
JO - Journal of Educational Computing Research
JF - Journal of Educational Computing Research
SN - 0735-6331
IS - 6
ER -