Artificial Intelligence in Higher Education: Transformative Potential, Challenges, and Future Directions

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Hari Keshav Rajesh, Dr. Deepti Gupta, Dr. Upasana Gupta, Dr. Samikshya Madhukullya, Dr. Sudhir N. Divekar, Dr. Gifty Arora

Abstract

This paper examines the transformative role of Artificial Intelligence (AI) in higher education, highlighting its potential to revolutionize learning processes. Through an analysis of AI's current applications and its implications for students and educators, the study identifies both the benefits and challenges associated with AI integration in educational settings. A survey of 40 undergraduate Computer Science students provides insights into AI's prevalence, effectiveness, and areas for improvement. The findings reveal a strong preference for AI tools that offer personalized learning experiences, though issues such as inaccurate responses and data privacy concerns persist. The study underscores the importance of ethical considerations and human-AI collaboration in developing AI systems that enhance educational outcomes. Ultimately, the paper offers recommendations for leveraging AI to create more effective and inclusive learning environments, while maintaining the essential role of human educators.

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