Ai Capital As A Predictor of Students’ Digital and Web Design Competence in Higher Education
Abstract
This study examines the role of AI capital as a predictive factor in the development of students’ digital and web design competence in higher education. AI capital is conceptualized as a multidimensional construct encompassing learners’ access to AI tools, proficiency in using AI technologies, and attitudes toward artificial intelligence. The research adopts a quantitative approach, utilizing survey data and performance-based assessments collected from undergraduate students. The results reveal that AI capital is a significant predictor of both digital competence and web design skills, demonstrating strong positive relationships with learning outcomes. Furthermore, the findings highlight that students with higher levels of AI capital exhibit greater engagement, efficiency, and adaptability in digital learning environments. The study underscores the importance of integrating AI literacy and intelligent tools into educational systems to support competence development. It contributes to the emerging field of AI in education by establishing AI capital as a key determinant in predicting and enhancing student learning outcomes.