Self-Efficacy as a Mediating Variable in the Relationship between Student Interaction with Artificial Intelligence Applications and Knowledge Sharing among University Students

Authors

Professor of Educational Psychology and Educational StatisticsFaculty of Education, Cairo - Al-Azhar University

Abstract

    The aim of the research was to identify the effect of self-efficacy as an intervening variable in the relationship between students’ interaction with artificial intelligence applications and cognitive engagement among the selected sample members. Assuming that the research results provide evidence about the relationship between students' interaction with the use of artificial intelligence applications and cognitive engagement, and understanding the mechanism between students' interaction with artificial intelligence tools and their achievements and engagement is important for teachers, schools and universities. Students' interaction with artificial intelligence applications will affect their academic achievement through self-efficacy and knowledge sharing. The research results also provide new insights into the mediating effects of self-efficacy and knowledge sharing in education by introducing interactions with artificial intelligence applications. The research sample consisted of third-year students at the Faculty of Education for Boys in Cairo, Al-Azhar University, selected from scientific, literary and qualitative specializations. To achieve the research aim, measurement instruments were prepared, including the self-efficacy scale, the student interaction with artificial intelligence applications scale, and the knowledge sharing scale. In light of the research aim and answering its questions, the data are processed statistically, the results are found and discussed, and a set of educational recommendations and proposed research are prepared.

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