Abstract:



With the growing role of digital games as innovative educational tools for the digital generation, leveraging the potential of artificial intelligence (AI) to enhance the quality of edutainment in these games has become increasingly significant. The aim of this study is to design an optimal model for applying AI in the implementation of edutainment in digital games specifically targeted at digital-native adolescents. The research employed a qualitative methodology based on the grounded theory approach, following Strauss and Corbin’s systematic procedure. Data were collected through in-depth semi-structured interviews with experts in the fields of AI and media, selected purposefully, and analyzed using a three-stage coding process. The findings revealed that the proposed model consists of five main components: the central core, key roles of AI, user characteristics, specific strategies, and future perspectives. According to this model, AI plays a pivotal role in content personalization, intelligent gamification, the design of personalized narratives and humor, the creation of goal-oriented interactions, and the development of interactive environments. This enables a unique, engaging, and sustainable interactive experience. The proposed approach establishes a new connection between technology and the edutainment process, turning intelligent serious games into effective learning tools. Overall, the optimal model—by addressing the needs of the digital generation and employing creative, interactive, and effective strategies—can serve as an innovative solution for transforming edutainment and supporting stakeholders in this dynamic industry.