A Pedagogical Model for Enhancing Mechanical Engineering Education Through Experimental Learning and Laboratory Techniques
Enoch Oluwadunmininu Ogunnowo, Elemele Ogu, Peter Ifechukwude Egbumokei, Ikiomoworio Nicholas Dienagha, Wags Numoipiri Digitemie
Journal of Materials Science Research and Reviews · pp. 194–213 · Published 15 Feb 2025
10.9734/jmsrr/2025/v8i1389Abstract
Mechanical engineering education faces the challenge of providing students with practical, hands-on experiences that bridge the gap between theoretical concepts and real-world applications. This paper presents a pedagogical model designed to enhance mechanical engineering education through experimental learning and laboratory techniques. The model integrates theoretical instruction with interactive, real-world experiments that engage students in problem-solving and critical thinking, enabling them to apply engineering principles in practical settings. The proposed model is based on three core components: (1) Active Learning: This involves students actively participating in laboratory experiments, design challenges, and simulations. It encourages them to work collaboratively, fostering teamwork and communication skills. (2) Real-World Applications: The model emphasizes incorporating industry-relevant problems into the curriculum, allowing students to solve authentic engineering issues. This approach ensures that students are exposed to contemporary challenges and solutions within the mechanical engineering field. (3) Feedback and Reflection: Students are provided with timely, constructive feedback on their experiments, enabling them to refine their approaches and improve their problem-solving abilities. Reflection exercises further encourage students to critically assess their learning processes and outcomes. The model also includes a focus on the integration of advanced laboratory equipment and simulation tools that enhance the experimental learning experience. Students engage with cutting-edge technologies, including computer-aided design (CAD), computational fluid dynamics (CFD), and robotics, fostering skills that are directly transferable to the engineering workforce. Through case studies and examples, this paper demonstrates how the model promotes active engagement, enhances conceptual understanding, and prepares students for the complexities of the mechanical engineering industry. Additionally, the model's adaptability to different teaching environments and student needs is discussed. The framework serves as a guide for educators aiming to improve the efficacy and impact of mechanical engineering education.
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