IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6794-d830060.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Valentina Terzieva & Boyan Bontchev & Yavor Dankov & Elena Paunova-Hubenova, 2022. "How to Tailor Educational Maze Games: The Student’s Preferences," Sustainability, MDPI, vol. 14(11), pages 1-26, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6794-:d:830060
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6794/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/11/6794/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6794-:d:830060. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.