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Improving Students' Perceptions of Learning and Performance in Mechanical Engineering

Creig Venter*

Mechanical engineering is a diverse and challenging field that requires a strong foundation in theoretical knowledge and practical skills. However, students often face difficulties in comprehending complex concepts and may struggle to connect theoretical learning with real-world applications. This article aims to explore various strategies and approaches to enhance students' perception of learning and improve their overall performance in mechanical engineering.

Through an extensive literature review, case studies, interviews, and analysis of educational practices, several key findings emerge. Practical application and hands-on experience are crucial for students to grasp mechanical engineering concepts more effectively. Project-based learning methodologies encourage active engagement, critical thinking, and collaboration among students, leading to a deeper understanding of the subject matter.

The integration of technology, such as computer-aided design (CAD) software, simulation tools, and virtual reality, enhances visualization and provides interactive learning experiences. Mentoring programs and peer collaboration create supportive environments where students can learn from experienced professionals and each other, fostering motivation and a sense of belonging. Effective feedback and assessment practices that focus on growth and learning process rather than grades help students identify areas for improvement and strive for excellence.

By implementing these strategies and approaches, educators and institutions can create an engaging and inclusive learning environment that enhances students' perception of learning and performance in mechanical engineering. It is essential for the field to adapt teaching methodologies to empower the next generation of mechanical engineers and prepare them for the challenges of the industry.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado.