AI Adoption Among Teachers: Insights on Concerns, Support, Confidence, and Attitudes

TL;DR

This study investigates how institutional support influences teachers' confidence and attitudes towards AI adoption, finding that support enhances confidence which in turn improves attitudes, with no moderation effect from teacher concerns.

Contribution

It reveals that institutional support indirectly boosts teacher attitudes through increased confidence, emphasizing the importance of ongoing support and professional development.

Findings

Institutional support significantly predicts teacher confidence and attitudes.

Teacher concerns do not significantly moderate the support-attitudes relationship.

Confidence fully mediates the effect of support on attitudes.

Abstract

The study examines the adoption of artificial intelligence (AI) tools in education by analyzing the roles of institutional support, teacher confidence, and teacher concerns. It aims to determine whether teacher concerns moderate the relationship between institutional support and two outcomes: teacher confidence and attitudes toward AI adoption. The sample included 260 teachers from the Philippines. Composite scores were calculated for institutional support, confidence, concerns, and attitudes. Moderated multiple regression analysis showed that institutional support significantly predicted both teacher confidence and attitudes toward AI. However, teacher concerns did not significantly moderate these relationships. A follow-up mediation analysis tested whether confidence explains the effect of institutional support on attitudes. Results showed full mediation. The indirect effect was significant based on the Sobel test, and the direct effect became non-significant when confidence was included in the model. This shows that institutional support improves teacher attitudes by increasing their confidence. The study recommends that institutions provide structured and ongoing support to strengthen teacher confidence. Professional development, mentoring, and AI integration in teacher education programs can increase readiness and support effective AI adoption.