An adaptive virtual reality game for programming education using fuzzy cognitive maps and pedagogical models

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Publicado no:Smart Learning Environments vol. 12, no. 1 (Dec 2025), p. 62
Autor principal: Marougkas, Andreas
Outros Autores: Troussas, Christos, Krouska, Akrivi, Sgouropoulou, Cleo
Publicado em:
Springer Nature B.V.
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024 7 |a 10.1186/s40561-025-00392-3  |2 doi 
035 |a 3255981035 
045 2 |b d20251201  |b d20251231 
100 1 |a Marougkas, Andreas  |u University of West Attica, Greece, Department of Informatics and Computer Engineering, Athens, Greece (GRID:grid.499377.7) (ISNI:0000 0004 7222 9074) 
245 1 |a An adaptive virtual reality game for programming education using fuzzy cognitive maps and pedagogical models 
260 |b Springer Nature B.V.  |c Dec 2025 
513 |a Journal Article 
520 3 |a Virtual Reality has proven to be highly promising within the field of learning. Most VR learning methods do not effectively implement pedagogical models or adapt to the individual's learning style. This research aims to bridge this gap by integrating Fuzzy Cognitive Maps (FCMs), Flow Theory and Gamification within an educational Virtual Reality video game to introduce and teach learners to Java programming. This new integration offers real-time accommodation to the learners' performance through dynamically balancing challenges and competencies (Flow Theory) and personalized, data-driven feedback (FCMs) and motivational stimulation through interactive gamified mechanisms (Gamification). With the use of FCMs to enable real-time personalization, this approach offers the ideal balance between competence and challenge to ensure deeper understanding of the subject matter. A comprehensive analysis verified significant improvements to the task performance, knowledge outcomes, along with the reduction of errors, validating the effectiveness of this adaptive VR method. The future of a more efficient and adaptive learning VR is made possible through this research that offers new knowledge about the integration of cognitive engagement, motivational aspects, and adaptive AI-powered learning. 
610 4 |a Sony Computer Entertainment America Inc 
653 |a Students 
653 |a Computer & video games 
653 |a Educational technology 
653 |a Learning management systems 
653 |a Virtual reality 
653 |a Flow theory 
653 |a Online instruction 
653 |a Technology Acceptance Model 
653 |a Real time 
653 |a Education 
653 |a Flow mapping 
653 |a Computer programming 
653 |a Pedagogy 
653 |a Feedback 
653 |a Skills 
653 |a Learning 
653 |a Artificial intelligence 
653 |a Educational objectives 
653 |a Cognitive models 
653 |a Literature reviews 
653 |a Customization 
653 |a Cognitive maps 
653 |a Gamification 
653 |a Adaptive learning 
653 |a Computer Simulation 
653 |a Curriculum Development 
653 |a Environment 
653 |a Cognitive Processes 
653 |a Academic Achievement 
653 |a Coding 
653 |a Instructional Effectiveness 
653 |a Fundamental Concepts 
653 |a Autism Spectrum Disorders 
653 |a Constructivism (Learning) 
653 |a Educational Games 
653 |a Educational Strategies 
653 |a Competence 
653 |a Influence of Technology 
653 |a Distance Education 
653 |a Educational Methods 
653 |a Cognitive Style 
653 |a Cognitive Mapping 
653 |a Blended Learning 
653 |a Creativity 
653 |a Educational Experience 
653 |a Educational Facilities Improvement 
700 1 |a Troussas, Christos  |u University of West Attica, Greece, Department of Informatics and Computer Engineering, Athens, Greece (GRID:grid.499377.7) (ISNI:0000 0004 7222 9074) 
700 1 |a Krouska, Akrivi  |u University of West Attica, Greece, Department of Informatics and Computer Engineering, Athens, Greece (GRID:grid.499377.7) (ISNI:0000 0004 7222 9074) 
700 1 |a Sgouropoulou, Cleo  |u University of West Attica, Greece, Department of Informatics and Computer Engineering, Athens, Greece (GRID:grid.499377.7) (ISNI:0000 0004 7222 9074) 
773 0 |t Smart Learning Environments  |g vol. 12, no. 1 (Dec 2025), p. 62 
786 0 |d ProQuest  |t Education Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3255981035/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
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