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Academic bridge courses are implemented to impact students’ academic success by revising fundamental concepts and skills necessary to successfully complete discipline-specific courses. The bridge courses are often short (one to three weeks) and highly dense in content (commonly mathematics or math-related applications). With the support of the NSF-funded (DUE - Division of Undergraduate Education) STEM Center at Sam Houston State University (SHSU), we designed a course for upcoming engineering majors (i.e., first-year students and transfer students) that consists of a two-week-long pre-semester course organized into two main sessions. The first sessions (delivered in the mornings) were synchronous activities focused on strengthening student academic preparedness and socio-academic integration and fostering networking leading to a strong STEM learning community. The second sessions (delivered in the afternoons) were asynchronous activities focused on discipline-specific content knowledge in engineering. The engineering concepts were organized via eight learning modules covering basic math operations, applied trigonometry, functions in engineering, applied physics, introduction to statics and Microsoft Excel, and engineering economics and its applied decision. All materials in the course were designed by engineering faculty (from the chair of the department to assistant professors and lecturers in engineering) and one educational research faculty (from the department of chemistry). The course design process started with a literature review on engineering bridge courses to understand prior work, followed by surveying current engineering faculty to propose goals for the course. The designed team met weekly after setting the course goals over two semesters. The design process was initiated with backward design principles (i.e., start with the course goals, then the assessments, end with the learning activities) and continued with ongoing revision. The work herein presents this new engineering bridge course’s goals, strategy, and design process. Preliminary student outcomes will be discussed based on the course’s first implementation during summer 2021.
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The Role of Prior Knowledge in the Performance of Engineering Students
In engineering, students’ completion of prerequisites indicates an understanding of fundamental knowledge. Recent studies have shown a significant relationship between student performance and prior knowledge. Weak knowledge retention from prerequisite coursework can present challenges in progressive learning. This study investigates the relationship between prior knowledge and students’ performance over a few courses of Statics. Statistics has been considered as the subject of interest since it is the introductory engineering course upon which many subsequent engineering courses rely, including many engineering analysis and design courses. The prior knowledge was determined based on the quantitative and qualitative preparedness. A quiz set was designed to assess quantitative preparedness. The qualitative preparedness was assessed using a survey asking students’ subjective opinions about their preparedness at the beginning of the semester. Student performance was later quantified through final course grades. Each set of data were assigned three categories for grouping purposes to reflect preparedness: 1) high preparedness: 85% or higher score, 2) medium preparedness: between 60% and 85%, and 3) weak preparedness: 60% or lower. Pearson correlation coefficient and T-test was conducted on 129 students for linear regression and differences in means. The analysis revealed a non-significant correlation between the qualitative preparedness and final scores (p-value = 0.29). The data revealed that students underestimated their understanding of the prerequisites for the class, since the quantitative preparedness scores were relatively higher than the qualitative preparedness scores. This can be partially understood by the time gap between when prerequisites were taken and when the course under investigation was taken. Students may have felt less confident at first but were able to pick up the required knowledge quickly. A moderately significant correlation between students’ quantitative preparedness and course performance was observed (p -value < 0.05). Students with high preparedness showed >80% final scores, with a few exceptions; students with weak preparedness also showed relatively high final scores. However, most of the less prepared students made significant efforts to overcome their weaknesses through continuous communication and follow-up with the instructor. Despite these efforts, these students could not obtain higher than 90% as final scores, which indicates that level of preparedness reflects academic excellence. Overall, this study highlights the role of prior knowledge in achieving academic excellence for engineering. The study is useful to Civil Engineering instructors to understand the role of students’ previous knowledge in their understanding of difficult engineering concepts.
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- Award ID(s):
- 1928409
- PAR ID:
- 10294949
- Publisher / Repository:
- ASEE Conferences
- Date Published:
- Format(s):
- Medium: X
- Location:
- Virtual Conference
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.18260/1-2--37892
