Hybrid Problem-Based Learning in Digital Image Processing: A Case Study

Abstract

Contribution: This paper reports a curriculum development in hybrid problem-based learning (h-PBL), addresses the design, implementation, effectiveness, and assessment issues of h-PBL, and explains the mixed results observed regarding the impact of problem-based learning (PBL) on student grades from a hybrid perspective. Background: The effect of PBL on student learning is difficult to analyze. Empirical research on h-PBL has been scant in the engineering education field. Intended Outcomes: The hybrid approach described in this paper can be used to guide other course designs. Future research directions are also provided in order to better capture the positive effects of PBL on student learning. Application Design: A 3-D imaging project was developed and implemented using h-PBL. A non-parametric hypothesis test was conducted to compare four-year student performance data collected after the implementation of h-PBL with four-year student performance data collected under traditional lecturing; both sets of students were taught by the same instructor. Findings: Student project grades improved after h-PBL, whereas student cumulative course grades did not show significant improvement. The study suggests that higher ratios and weights of PBL, better timing in introducing PBL, and more integrated course components in the hybrid approach may further improve student performance.