ERIC Number: EJ1461051
Record Type: Journal
Publication Date: 2025-Jan
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2730-5937
EISSN: EISSN-2730-5945
Available Date: 2024-10-02
Application of a Prediction Problem-Based Learning (PPBL) Method in an Undergraduate Biomechanics Course
Biomedical Engineering Education, v5 n1 p79-85 2025
Challenge: As biomedical engineers revolutionize medicine, biomedical engineering programs must adapt to the diverse learning styles of the current student population. Students are learning in new ways and instructional strategies need to be adopted. Novel Initiative: Understanding generational attributes is crucial for developing effective teaching pedagogy. Generation Z, also known as "zoomers" and "digital natives," will dominate higher education for the next decade. In response to the shift of how students are learning, a new teaching method called Prediction Problem-Based Learning (PPBL) was implemented in an undergraduate Biomechanics course. PPBL combines the retrieval of information with problem-based learning to enhance student engagement and active learning. Reflection: Comparing this method to traditional teaching approaches demonstrated significant improvements in a course learning outcome and exam performances among students exposed to PPBL. These results suggest that PPBL fosters a deeper understanding of the material and promotes a more effective learning strategy. Further analysis and testing of this method are recommended to confirm its efficacy and explore its potential for broader application in biomedical engineering educational courses. This innovative approach aligns with the needs of Generation Z learners, who thrive in interactive and technology-enhanced educational environments, thereby providing greater opportunities for academic success and professional preparedness.
Descriptors: Undergraduate Students, Biomechanics, Science Instruction, Problem Based Learning, Medical Education, Teaching Methods, Generational Differences, Information Retrieval, Active Learning, Learner Engagement, Learning Strategies, Technology Integration, Computer Assisted Instruction, Academic Achievement, Employment Potential, Career Readiness
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Stevens Institute of Technology, Biomedical Engineering Department, Hoboken, USA