Liang Li Wu

This quantitative study examined student participation in an introductory project-based engineering course offered in fully face-to-face and hybrid course modes (N = 160). This course attempted to counteract trends of decreased student motivation and high attrition rates among engineering majors. Mixed-design analysis of variance examined differences in motivational constructs including student self-efficacy, effort regulation, and interest in engineering, as well as engineering skills throughout the course and across instructional modes. None of the motivational constructs were associated with significant decreases throughout the course nor with differences across instructional modes. However, students’ engineering skills increased throughout the course with no significant differences across course modalities. Furthermore, interest in engineering and effort regulation were positively associated with course performance. The instructional modality was not significantly associated with course performance. Overall, this study provides an example of a project-based introductory engineering course which may help maintain student motivation and foster student success in engineering.

Background: Project‐based learning has shown promise in improving learning outcomes for diverse students. However, studies on its impacts have largely focused on the perceptions of students and instructors or students' immediate performance. This study reports the impact of taking a project‐based introductory engineering course on students' subsequent academic success.Purpose/Hypothesis: This quantitative study examines characteristics related to enrollment in the project‐based introductory engineering course and subsequent academic performance. We hypothesized that participation in the course would be associated with higher academic performance in subsequent engineering courses. In addition, we examined heterogeneity effects for students traditionally underrepresented in engineering education.Design/Method: This study utilized data on students' demographics, academic preparation, course enrollment, and course performance from 1,318 engineering students from a large public university in Southern California. Logistic regression analysis with robust standard errors examined enrollment patterns. We applied propensity scores as inverse‐probability weights in multiple linear models to calculate the average treatment effect on the treated for participants from the project‐based introductory engineering course in five subsequent engineering courses. This analysis was conducted for all students and for selected student subgroups.Results: Enrollment in the project‐based introductory engineering course was positively associated with students' performance in some subsequent engineering courses and did not adversely affect students traditionally underrepresented in engineering.Conclusions: This study provides an example of a project‐based introductory engineering course that can support students' academic success in engineering. The benefits detected for some student populations (e.g., female) are encouraging for broadening engineering pathways.

Microfluidic droplet systems have shown great promise in high throughput chemical assays to minimize chemical consumption and increase process efficiency. We report a droplet system that forms nanovolume drops under static conditions. The programmability of drop sizes is determined by geometric configurations and surface tension, and not particularly sensitive to flow rates. The geometry of the device predetermines locations of drops, and thus it is easy to identify the locations of drops and the volumes of the drops within them. Further integration can be made to generate screening assays and utilized in various applications such as crystallization screening and solubility studies. This technology makes hand-operated systems a possibility, since precision control of flow rates is not necessary

Microfluidic droplet systems have shown great promise in high throughput chemical assays to minimize chemical consumption and increase process efficiency. We report a droplet system that forms nanovolume drops under static conditions. The programmability of drop sizes is determined by geometric configurations and surface tension, and not particularly sensitive to flow rates. The geometry of the device predetermines locations of drops, and thus it is easy to identify the locations of drops and the volumes of the drops within them. Further integration can be made to generate screening assays and utilized in various applications such as crystallization screening and solubility studies. This technology makes hand-operated systems a possibility, since precision control of flow rates is not necessary