Twentieth International Conference on Technology, Knowledge, and Society

Abstract

The integration of Artificial Intelligence (AI) in educational settings, particularly in university courses, presents a novel approach to augmenting traditional teaching methodologies. This study explores the impact of AI integration in university courses designed with an explorative learning framework, focusing on the enhancement of student engagement and knowledge acquisition. A mixed-methods research design was employed, involving quantitative and qualitative analyses. The study includes a sample of university courses in business administration that integrated AI tools for explorative learning. Data were collected through student performance assessment, surveys, interviews, and classroom observations. The integration of AI in explorative learning environments in university courses shows promising results in enhancing student learning experiences and improved problem-solving skills. It also highlights that a new skill set is required from students and educators. A key challenge is to stress the importance of continuous verification and critical thinking throughout the learning journey. This study demonstrates the potential of AI to enhance educational practices in higher education through explorative learning using artificial intelligence. Future research should focus on long-term impacts of AI integration (e.g. across an entire curriculum) and its scalability across diverse educational settings.