Adaptive Learning in Engineering Courses: How Artificial Intelligence (AI) Can Improve Academic Outcomes

This qualitative research article explores the impact of Artificial Intelligence (AI) on enhancing academic performance in engineering courses, focusing on adaptive learning systems. The study highlights the evolution of digital technologies in education, emphasizing the applicability of AI in personalizing and adapting learning. Analyzing the integration of AI in engineering education, the study unveils benefits such as teaching customization and early detection of student difficulties. Concurrently, challenges are discussed, including ethical issues like data privacy and algorithmic biases. The research, adopting a qualitative approach, is grounded in an integrative literature review, considering recent studies on the application and impact of AI in higher education. The findings suggest that AI holds significant potential for transforming engineering education, provided its implementation is accompanied by ethical considerations and proper educator preparation.