The Role of Knowledge Management in Predicting Educational Sustainability of Generative AI
TechTrends, 2026 (ESCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1007/s11528-026-01234-w
- Dergi Adı: TechTrends
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, IBZ Online, Aerospace Database, Agricultural & Environmental Science Database, EBSCO Education Source, Education Abstracts, Educational research abstracts (ERA), ERIC (Education Resources Information Center), Academic Search Ultimate (EBSCO), Social Science Premium Collection (ProQuest), Education Collection (ProQuest), Education Source Ultimate (EBSCO), Technology Collection (ProQuest)
- Anahtar Kelimeler: Educational sustainability, Generative AI, Knowledge management
- Bursa Uludağ Üniversitesi Adresli: Evet
Özet
This study examined the role of knowledge management in predicting the educational sustainability of generative AI. A research model based on UTAUT was developed to assess the key factors associated with the educational sustainability of generative AI. A multi-analytical approach, combining Partial Least Squares Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANN), was used to analyze data from 575 university students. The PLS-SEM results revealed that knowledge management practices, particularly knowledge acquisition and application, are significantly associated with the educational sustainability of generative AI. In addition, performance expectancy, social influence, and facilitating conditions were significant predictors of educational sustainability. The ANN findings indicated that knowledge application was the most influential predictor of educational sustainability. The study concludes that knowledge management practices, particularly knowledge application and acquisition, are meaningfully associated with students’ perceived educational sustainability of generative AI. The findings underscore the importance of developing effective knowledge management practices to integrate generative AI technologies in academic settings successfully.