Harnessing AI in Education: Boosting Engagement and Personalizing Learning with Generative AI

What is it about?

The study evaluates the effectiveness of generative artificial intelligence (GAI) in higher education, focusing on student engagement, personalized learning, and teaching practices. Using a mixed-methods approach, it involves surveys, interviews, and classroom observations with 200 students and 50 teachers. Results show a high integration of GAI in IT and natural sciences courses, enhancing feedback and interactions. Challenges include teacher training, technical infrastructure, and ethical concerns. GAI proved successful in adaptive learning tools like automatic code checking and virtual models. Institutions must invest in training and support systems to address challenges and fully benefit from GAI's potential in transforming educational processes.

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Why is it important?

This research is important as it evaluates the potential of generative artificial intelligence (GAI) to enhance education by personalizing learning experiences, increasing student engagement, and improving teaching practices. By exploring the integration of GAI in educational settings, this study provides insights into how technology can transform teaching and learning processes, cater to individual student needs, and foster dynamic interactions between students and teachers. The findings emphasize the necessity to address challenges such as teacher training, technical infrastructure, and ethical considerations, which are crucial for the successful adoption of GAI in education. This research contributes to the broader discussion on modernizing educational systems and preparing institutions to meet the evolving demands of the labor market and student expectations. Key Takeaways: 1. Enhanced Engagement and Personalization: The study indicates that GAI can significantly improve student engagement and personalize learning experiences, particularly in information technology and natural sciences, where adaptive learning tools and interactive technologies are effectively utilized. 2. Challenges in Integration: Successful GAI integration in educational settings requires overcoming several challenges, including teacher preparedness, technical infrastructure issues, and ethical concerns, highlighting the need for comprehensive support systems and training. 3. International Implications: The research underscores the importance of international collaboration and sharing best practices in integrating GAI into education, as evidenced by initiatives like Singapore's "Smart Nation," to adapt and optimize these technologies across diverse educational contexts.