Optimizing Student Success: The Impact of Artificial Intelligence in Teaching and Learning

Abstract

This study investigates the transformative potential of generative artificial intelligence (GAI) in reshaping educational methodologies in higher learning to enhance student success. Implementing GAI technologies into higher education opens new possibilities for improving the teaching and learning process. The research highlights synergies between GAI tools and educational best practices, addressing benefits and challenges. GAI tools were identified that can improve teaching and learning. These tools help streamline the curriculum development process, create teaching materials, and improve student success. GAI tools can enhance efficiency, save time, provide instant student support, and personalize course materials. Challenges include the accuracy of GAI-generated content, inadequate faculty training, lack of guidance on ethical use, and the high cost of implementation. The possibility of diminishing critical thinking skills and an increase in student cheating was a significant concern. Recommendations for employing GAI in higher education are provided, offering insights into its impact on teaching and learning.