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The Role of Artificial Intelligence in Enhancing Classroom Learning: Ethical, Practical, and Pedagogical Considerations

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Conference

2025 ASEE -GSW Annual Conference

Location

Arlington, TX, Texas

Publication Date

March 9, 2025

Start Date

March 9, 2025

End Date

March 11, 2025

Page Count

10

Permanent URL

https://peer.asee.org/55084

Paper Authors

biography

Olukayode Emmanuel Apata Texas A&M University

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Olukayode Apata is a third-year Ph.D. student in Research, Measurement, and Statistics at Texas A&M University. He has a master’s degree in educational studies at the University of Southern Mississippi. He also received another master’s degree in educational evaluation from the University of Ibadan, Nigeria. He had a bachelor’s degree in physics education at Adekunle Ajasin University, Nigeria. His research interests are Artificial Intelligence (AI) in education and STEM education research.

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John O Ajamobe Texas A&M University

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John Ajamobe is a doctoral student in the Department of Teaching, Learning, and Culture at Texas A&M University. He was a former high school educator and has an interdisciplinary background in economics and educational leadership. His research focuses on improving educational systems through advocacy for school safety, economics of education, and school accountability.

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Segun Timothy Ajose

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Peter Oluwaseyi Oyewole Kent State University, Kent

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Peter Oyewole is a doctoral candidate and teaching instructor at the School of Teaching Learning and Curriculum, Kent State University.

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Grace Iyinoluwa Olaitan

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Abstract

This paper examines how Artificial Intelligence (AI) can enhance personalized learning, simplify assessments, and support collaborative work in engineering education. We used constructivist learning theory to provide a foundation for understanding how AI tools can create dynamic and individualized learning experiences. AI’s adaptive capabilities allow educational content to be tailored to each student’s unique needs, help them sustain engagement, and support differentiated instruction. To guide educators in applying AI strategically, we developed a framework that categorizes AI applications in the classroom into three core areas: personalized learning and engagement, automated assessment and feedback, and collaborative learning. This framework offers a structured approach for educators and institutions to understand and implement AI tools that best align with their teaching goals. However, AI integration in education introduces several ethical and practical challenges, particularly regarding data privacy, academic integrity, and equity. To address these concerns, this study recommends establishing clear data protection protocols, guidelines for ethical AI use, and training programs that empower educators to use AI responsibly. Finally, we conclude with recommendations for responsible AI integration and suggest areas for future research, particularly longitudinal studies examining AI's impact on educational outcomes over time and across diverse learning populations. This study provides valuable insights for educators, administrators, and policymakers aiming to create a balanced, ethical, and effective framework for AI integration in learning environments.

Apata, O. E., & Ajamobe, J. O., & Ajose, S. T., & Oyewole, P. O., & Olaitan, G. I. (2025, March), The Role of Artificial Intelligence in Enhancing Classroom Learning: Ethical, Practical, and Pedagogical Considerations Paper presented at 2025 ASEE -GSW Annual Conference, Arlington, TX, Texas. https://peer.asee.org/55084

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