How to Tailor Educational Maze Games: The Student’s Preferences

Valentina Terzieva, Boyan Bontchev, Yavor Dankov and Elena Paunova-Hubenova
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Valentina Terzieva: Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev St., Bl. 2, 1113 Sofia, Bulgaria
Boyan Bontchev: Faculty of Mathematics and Informatics, Sofia University, “St. Kl. Ohridski”, 1164 Sofia, Bulgaria
Yavor Dankov: Faculty of Mathematics and Informatics, Sofia University, “St. Kl. Ohridski”, 1164 Sofia, Bulgaria
Elena Paunova-Hubenova: Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev St., Bl. 2, 1113 Sofia, Bulgaria

Sustainability, 2022, vol. 14, issue 11, 1-26

Abstract: Personalized learning has gained in popularity over the past decade. It provides learners with learning resources that comply with their characteristics and preferences or offers them tasks and quizzes adapted to their performance. This research presents how we apply this concept to an educational video maze game created and generated on the APOGEE platform. In particular, this article explores the following three research questions: (1) Which characteristics in the student’s model should be considered for the personalization of educational video games? (2) What are the student’s preferences regarding the personalization of educational video games? (3) How should the process of personalization of educational video games be organized? The answers to these questions are found by conducting practical experiments concerning user experience with the educational maze video game. The article also describes the model of students comprising user’s, learner’s, and player’s aspects with both static and dynamic features. Further, the personalization process of educational games based on this model is described. The results showing the student’s preferences are presented and critically examined. The provided discussion involves the disparities in the preferences of different groups of students concerning the amounts of play of learning games, preferred mini-games, and parameters to which educational materials should be tailored.

Keywords: personalization; game-based learning; educational games; maze video games; APOGEE (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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