The double-edged sword of AI-integrated education: an investigation into personalized and inclusive learning in higher education

Abstract

The integration of Generative AI tools in higher education offers promising avenues for enhancing personalized and inclusive learning but also presents significant challenges. This study investigates these complexities, focusing on personalized learning, inclusivity, faculty preparedness, and ethical considerations. Employing a mixed-methods research design, the study surveyed and interviewed students and faculty members from multiple higher education institutions. Using stratified random sampling, 300 students and 100 faculty members were selected. The study found that 85% of students reported enhanced engagement and academic performance due to AI’s personalized learning capabilities. However, some students preferred traditional methods of teaching. In terms of inclusivity, 75% of students felt that AI tools were accessible and culturally diverse, although concerns about algorithmic biases were raised. Faculty preparedness emerged as a significant factor, with 60% of faculty members feeling inadequately prepared to effectively use AI tools, citing technical and ethical challenges. Ethical considerations were a major concern, with 70% of participants worried about data privacy and security, and 50% raising issues related to algorithmic bias. These findings align with existing literature, emphasizing the need for a balanced approach to AI integration, faculty training programs, and ethical guidelines. The study offers valuable insights for future research and practical implementations in higher education. It also underscores the urgency for educational institutions to address these challenges to fully harness the benefits of AI in academic settings.

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