arXiv subjects

Vicky P. Vital

Publications and source records attributed to Vicky P. Vital.

3 recordsLinked to original sources

arXiv2026

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

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.

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arXiv2025

Teachers' Perspectives on Integrating AI tools in Classrooms: Insights from the Philippines

This study explores the attitudes, reservations, readiness, openness, and general perceptions of Filipino teachers in terms of integrating Al in their classrooms. Results shows that teachers express positive attitude towards integrating Al tools in their classrooms. Despite reporting high level of reservations, teachers believed they are ready and very open in complementing traditional teaching methods with these kinds of technologies. Teachers are very much aware with the potential benefits Al tools can offer to their individual student learning needs. Additionally, teachers in this study reported high level of support from their institutions. Recommendations are offered.

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arXiv2025

Teachers' Perspectives on the Use of AI Detection Tools: Insights from Ridge Regression Analysis

This study explores the perceptions of 213 Filipino teachers toward AI detection tools in academic settings. It focuses on the factors that influence teachers' trust, concerns, and decision-making regarding these tools. The research investigates how teachers' trust in AI detection tools affects their perceptions of fairness and decision-making in evaluating student outputs. It also explores how concerns about AI tools and social norms influence the relationship between trust and decision-making. Ridge Regression analysis was used to examine the relationships between the predictors and the dependent variable. The results revealed that trust in AI detection tools is the most significant predictor of perceived fairness and decision-making among teachers. Concerns about AI tools and social norms have weaker effects on teachers' perceptions. The study emphasized critical role of trust in shaping teachers' perceptions of AI detection tools. Teachers who trust these tools are more likely to view them as fair and effective. In contrast, concerns and social norms have a limited influence on perceptions and decision-making. For recommendations, training and institutional guidelines should emphasize how these tools work, their limitations, and best practices for their use. Striking a balance between policy enforcement and educator support is essential for fostering trust in AI detection technologies. Encouraging experienced users to share insights through communities of practice could enhance the adoption and effective use of AI detection tools in educational settings..

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