Prethodno priopćenje
https://doi.org/10.31784/zvr.14.1.19
A rule-based system for recommending digital educational games for students with intellectual disabilities
Kristian Stančin
orcid.org/0000-0001-8048-9026
; University of Rijeka, Faculty of informatics and digital technologies, Rijeka, Croatia
*
Nataša Hoić-Božić
orcid.org/0000-0002-9822-0313
; University of Rijeka, Faculty of informatics and digital technologies, Rijeka, Croatia
Sanja Skočić Mihić
orcid.org/0000-0001-6985-4213
; University of Rijeka, Faculty of teacher education, Rijeka, Croatia
* Dopisni autor.
Sažetak
The motivation for this research arises from the transformative potential of digital educational games (DEG) in supporting students with intellectual disabilities (ID) to develop conceptual, social, and practical skills. Integrating game-based learning into daily education can significantly enhance learning experiences; however, games specifically designed for students with ID are still difficult to find. This research addresses this gap by developing a system that recommends digital educational games based on an ontology tailored to the unique needs of students with ID. The system was evaluated through a two-phase exploratory study. The first phase examined the designed rules and algorithms for game recommendations with input from a panel of experts. The second phase assessed system use and user satisfaction among special education teachers, applying the DeLone and McLean Information System Success Model. Results suggest that the system can effectively recommend DEG aligned with individual learning needs and support teachers in integrating these games into their teaching practices, making the educational process more engaging, inclusive, and impactful. By addressing a gap in tools specifically designed for students with ID, the developed prototype represents a pioneering solution, ensuring personalised educational content and enabling teachers to use digital tools with greater confidence and ease.
Ključne riječi
digital educational games; D&M model; intellectual disabilities; ontology; rule-based system
Hrčak ID:
348179
URI
Datum izdavanja:
3.7.2026.
Posjeta: 0 *