AI - Driven Pedagogies: Enhancing Student Engagement and Learning Outcomes in Higher Education

Dr. Deeksha Saraswat

Abstract: The potential of AI - driven pedagogies to revolutionize higher education by raising student engagement and boosting learning outcomes is examined in this research paper. Artificial Intelligence (AI) technologies, including adaptive learning platforms, intelligent tutoring systems, and data - driven feedback mechanisms, are reshaping traditional educational approaches. By offering personalized learning experiences, AI tools enable educators to better accommodate individual learning styles and paces, fostering a more inclusive and engaging learning environment. This paper critically examines how AI can support in promoting active learning and immediate feedback, while also addressing the ethical considerations inherent in AI's integration. Furthermore, it investigates how AI can aid educators in identifying and addressing learning gaps, thus supporting higher - level cognitive development and improved academic performance. While AI presents promising opportunities for fostering student autonomy and engagement, the paper also considers challenges, including data privacy, algorithmic bias, and the risk of diminishing human - centered aspects of education. The study concludes that a balanced, ethical integration of AI in higher education can enhance student engagement and academic achievement when used as a complementary tool rather than a replacement for traditional teaching methods.

Keywords: Artificial Intelligence, Pedagogy, Student Engagement and Learning Outcome

How to Cite?: Dr. Deeksha Saraswat, "AI - Driven Pedagogies: Enhancing Student Engagement and Learning Outcomes in Higher Education", Volume 13 Issue 11, November 2024, International Journal of Science and Research (IJSR), Pages: 1152-1154, https://www.ijsr.net/getabstract.php?paperid=SR241119221041, DOI: https://dx.doi.org/10.21275/SR241119221041