A Research Model Proposal for Examining The Impact of Perceived Educational Benefits of GenAI on Learning Performance in Tourism Education
International Conference on Tourism (ICOT2026): Next-Generation Tourism: Innovation, Sustainability and Traveler Diversity, Mitilini, Yunanistan, 24 - 27 Haziran 2026, ss.71-72, (Özet Bildiri)
- Yayın Türü: Bildiri / Özet Bildiri
- Basıldığı Şehir: Mitilini
- Basıldığı Ülke: Yunanistan
- Sayfa Sayıları: ss.71-72
- İstanbul Üniversitesi Adresli: Evet
Özet
The increasing use of generative artificial intelligence (GenAI) in higher education has raised important questions about how students perceive its educational benefits and how these perceptions may be reflected in learning outcomes. This issue is particularly relevant in tourism education, where students are expected to develop both academic knowledge and practice-oriented competencies for a rapidly digitalizing industry. While previous studies have often examined GenAI through technology acceptance, adoption, usage intention, or concerns about overreliance and academic integrity, less attention has been given to how perceived educational benefits of GenAI may relate to learning performance through learning-related factors. Building upon the existing literature on GenAI use in higher education, student engagement, academic self-efficacy, and learning outcomes, this study presents a research model proposal designed to examine the impact of perceived educational benefits of GenAI on students’ perceived learning performance using these tools in tourism education. The proposed model suggests that students’ perceptions of GenAI’s educational benefits may support academic self-efficacy and engagement in learning processes, which may subsequently be associated with perceived learning performance. In this respect, the model moves beyond a purely technology-oriented perspective and positions GenAI use within a broader educational framework that considers students’ academic development and learning experience. The study is currently designed for empirical testing through data collection from undergraduate tourism students. By proposing this model, the study aims to provide a conceptual basis for examining how such perceptions may be connected to students’ perceived learning performance in tourism education. It also offers practical relevance for tourism educators and curriculum designers seeking to integrate GenAI tools into educational processes in a pedagogically meaningful way. Overall, the proposed model contributes to the emerging discussion on GenAI use in tourism education by focusing not only on the use of GenAI, but also on how its educational benefits are perceived and how these perceptions may shape students’ learning experience.