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

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.

[1]  V. Terzieva,et al.  “Let Us Save Venice”—An Educational Online Maze Game for Climate Resilience , 2021, Sustainability.

[2]  M. Muthu,et al.  Use of Puzzles as an Effective Teaching–Learning Method for Dental Undergraduates , 2021, International journal of clinical pediatric dentistry.

[3]  Boyan Bontchev,et al.  Towards a Taxonomy of Instruments for Facilitated Design and Evaluation of Video Games for Education , 2020, CompSysTech.

[4]  R. Andreev,et al.  Smart Compact Laser System for Animation Projections , 2019, Cybernetics and Information Technologies.

[5]  M. Sailer,et al.  The Gamification of Learning: a Meta-analysis , 2019, Educational Psychology Review.

[6]  Boyan Bontchev,et al.  The APOGEE Software Platform for Construction of Rich Maze Video Games for Education , 2019, ICSOFT.

[7]  Tatyana Ivanova,et al.  Resources and Semantic-based knowledge models for personalized and self-regulated learning in the Web: survey and trends , 2019, CompSysTech.

[8]  Ivan Naydenov,et al.  ADAPTIVE VIDEO GAMES BASED ON COGNITIVE ABILITIES AND SKILLS OF THE PLAYER , 2019, INTED2019 Proceedings.

[9]  Milen Petrov,et al.  Playing styles based on experiential learning theory , 2018, Comput. Hum. Behav..

[10]  Boyan Bontchev,et al.  Playing style recognition through an adaptive video game , 2017, Comput. Hum. Behav..

[11]  Rebecca Ferguson,et al.  Dimensions of personalisation in technology-enhanced learning: A framework and implications for design , 2018, Br. J. Educ. Technol..

[12]  A. Malik,et al.  The Influences of Emotion on Learning and Memory , 2017, Front. Psychol..

[13]  D. Dicheva,et al.  Gamifying education: what is known, what is believed and what remains uncertain: a critical review , 2017, International Journal of Educational Technology in Higher Education.

[14]  Sunita M. Dol,et al.  GPBL:An Effective Way to Improve Critical Thinking and Problem Solving Skills in Engineering Education , 2017 .

[15]  Ralf Dörner,et al.  Serious Games , 2016, Springer International Publishing.

[16]  Galia Angelova,et al.  Gamification in Education: A Systematic Mapping Study , 2015, J. Educ. Technol. Soc..

[17]  T. G. Mendes,et al.  Games in the environmental context and their strategic use for environmental education. , 2015, Brazilian journal of biology = Revista brasleira de biologia.

[18]  A. Barua,et al.  The relationship between learning preferences (styles and approaches) and learning outcomes among pre-clinical undergraduate medical students , 2015, BMC medical education.

[19]  R. Landers Developing a Theory of Gamified Learning , 2014 .

[20]  Patricia Paderewski,et al.  Modeling storytelling to be used in educational video games , 2014, Comput. Hum. Behav..

[21]  Dietrich Albert,et al.  Micro-adaptivity: protecting immersion in didactically adaptive digital educational games , 2010, J. Comput. Assist. Learn..

[22]  S. Graf,et al.  Adaptive and Intelligent Web-Based Educational Systems , 2009 .

[23]  Judy Kay,et al.  Student Models that Invite the Learner In: The SMILI: () Open Learner Modelling Framework , 2007, Int. J. Artif. Intell. Educ..

[24]  Alfred Kobsa,et al.  The Adaptive Web, Methods and Strategies of Web Personalization , 2007, The Adaptive Web.

[25]  Ingrid Zukerman,et al.  # 2001 Kluwer Academic Publishers. Printed in the Netherlands. Predictive Statistical Models for User Modeling , 1999 .

[26]  Sue Franklin,et al.  Non-traditional interventions to stimulate discussion: the use of games and puzzles , 2003 .

[27]  Neil D. Fleming,et al.  Not Another Inventory, Rather a Catalyst for Reflection , 1992 .