Problem design in problem-based learning: evaluating students' learning and self-directed learning practice
Ella W. Yeung, Stephanie S.Y. Au-Yeung, Thomas Chiu, Nicola W. Mok, Yau Ming Lai
Abstract
Ella W. Yeung, Stephanie S.Y. Au-Yeung, Thomas Chiu, Nicola W. Mok, Yau Ming Lai
Abstract
The design of the problems that are used in problem-based learning plays an important part in achieving the intended learning objectives set by teaching staff. To a large extent, the learning issues generated by students during tutorials determine their learning activities and form the framework for the direction of self-directed study. The relevance of these learning issues will drive and stimulate students to become more competent self-directed learners. The work described in this paper explores the match between students' learning issues and the learning objectives that have been set by teaching staff. The findings indicate that students recognize (on average) 79.9% of the learning objectives with a significant improvement as the semester progresses (p < 0.01). There is also evidence to suggest that students move towards independent learning as a result of problem-based learning.
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The design of the problems that are used in problem-based learning plays an important part in achieving the intended learning objectives set by teaching staff. To a large extent, the learning issues generated by students during tutorials determine their learning activities and form the framework for the direction of self-directed study. The relevance of these learning issues will drive and stimulate students to become more competent self-directed learners. The work described in this paper explores the match between students' learning issues and the learning objectives that have been set by teaching staff. The findings indicate that students recognize (on average) 79.9% of the learning objectives with a significant improvement as the semester progresses (p < 0.01). There is also evidence to suggest that students move towards independent learning as a result of problem-based learning.
Key concepts: Experiential learning, Active learning (machine learning), Cooperative learning, Learning sciences, Mathematics education, Relevance (law), Synchronous learning, Set (abstract data type)