Perceived Impacts of Academic AI Use in Teaching and Learning

Aim:The purpose of the paper is to shed light on people's perception of artificial intelligence (AI) in higher education by studying its impact on both teachers and students.It examines the impact of AI on student-teacher interactions, lesson delivery methods, and learning effectiveness.Methodology: This study utilized a quantitative approach and online survey to 110 undergraduate respondents from a private non-sectarian university in Manila.Data were examined by regression analyses to determine the connections between students' attitudes toward AI and how they attribute educational impacts of AI. Results:The results showed a positive correlation of statistical significance between students' attitudes towards future integration of AI in education, on one hand, and perceptions of the influence of AI on exams, methods of teaching, and the effectiveness of learning, on the other hand.This suggests that students who are positive toward AI see that AI is beneficial in an educational setting. Conclusion:The results highlight the significance of fostering positive attitudes toward AI to promote successful adoption in HEIs.Recommendations include increasing AI literacy for students, providing AI-specific guidance, and training teachers to include AI in their teaching.These steps can maximise the benefits provided by AI in improving teaching and learning.

Publication Details

Journal
International Journal of Open-access Interdisciplinary and New Educational Discoveries of ETCOR Educational Research Center (iJOINED ETCOR)
Published
2025-06-02
DOI
https://doi.org/10.63498/etcor343
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
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article

Perceived Impacts of Academic AI Use in Teaching and Learning

1 citations
International Journal of Open-access Interdisciplinary and New Educational Discoveries of ETCOR Educational Research Center (iJOINED ETCOR)
Online Learning and Analytics
1.69
article

Perceived Impacts of Academic AI Use in Teaching and Learning

article en
1 citations

Abstract

Aim:The purpose of the paper is to shed light on people's perception of artificial intelligence (AI) in higher education by studying its impact on both teachers and students.It examines the impact of AI on student-teacher interactions, lesson delivery methods, and learning effectiveness.Methodology: This study utilized a quantitative approach and online survey to 110 undergraduate respondents from a private non-sectarian university in Manila.Data were examined by regression analyses to determine the connections between students' attitudes toward AI and how they attribute educational impacts of AI. Results:The results showed a positive correlation of statistical significance between students' attitudes towards future integration of AI in education, on one hand, and perceptions of the influence of AI on exams, methods of teaching, and the effectiveness of learning, on the other hand.This suggests that students who are positive toward AI see that AI is beneficial in an educational setting. Conclusion:The results highlight the significance of fostering positive attitudes toward AI to promote successful adoption in HEIs.Recommendations include increasing AI literacy for students, providing AI-specific guidance, and training teachers to include AI in their teaching.These steps can maximise the benefits provided by AI in improving teaching and learning.

International Journal of Open-access Interdisciplinary and New Educational Discoveries of ETCOR Educational Research Center (iJOINED ETCOR)Vol. 4(2)
Quality Education
Openalex Percentile: Top 13%
Online Learning and Analytics
1.69
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