Using case-based learning to enhance students’ performance in mechanical engineering undergraduates

Among the myriad of instructional approaches in engineering education, case-based learning (CBL) has emerged as a promising pedagogical strategy that promotes active learning, critical thinking, and real-world application of knowledge. This study investigates student performance and satisfaction with CBL methodologies in the context of mechanical engineering education, conducted in Sri Lanka. A mixed-methods approach was employed, including paired t-tests to analyze academic performance data and a survey to assess student perceptions and practices. The results indicate a positive relationship with grades and perception of CBL among students, with a majority expressing agreement or strong agreement with its implementation. Additionally, results from the survey discovered that conversational AI systems and chatbots emerged as a much-preferred supplementary resource utilized by students. Recommendations for future higher education methodologies include enhancing the integration of CBL, leveraging technology-driven resources, promoting active learning strategies, implementing continuous assessment and feedback mechanisms, investing in educator professional development, and promoting re