Improving undergraduate STEM teaching for diverse students is dependent to some extent on increasing the representation of Black, Indigenous and People of Color (BIPOC) and women in the ranks of faculty in engineering departments. However, new faculty members, whether they had postdoctoral training or not, report that they were not adequately prepared for academia. To address this need, a professional development program was developed for underrepresented doctoral and postdoctoral students, which focused on various strategies to be successful in teaching, research and service aspects of academic positions. The program included an intensive two-week summer session, with follow-up mentoring during the academic year, and was conducted from 2017 to 2020 with three cohorts of fellows recruited from across the country. To evaluate the impact of the program on the participants’ perceptions of their preparation for academic careers, a follow up survey was sent in May 2021 to the three former cohorts of participants (n=61), and responses were received from 37 of them. The survey asked participants to reflect on areas that they felt most prepared for in their academic positions, and areas that they felt least prepared for. The survey also asked participants to discuss additional supports they would have likedmore »
Duality as a central organizing theme in linear circuit analysis instruction
Linear circuit analysis is a complex topic in which students must use many principles to complete problems successfully, which may overload working memory and thereby impede learning. Introducing organizing principles may help students develop schemas that help reduce this burden and develop deeper conceptual understanding. The use of duality as such an organizing concept is explored in this work. To be effective, however, all the topics should be presented in a dual manner. Historically, definitions of series and parallel elements have been used that are not dual to each other, and mesh analysis has been performed in a way that is not fully dual to nodal analysis. This paper examines the research question of whether these key topics can be presented in a novel, fully dual fashion and whether students will accept and appreciate such a treatment. The revised approaches were implemented using lectures, online interactive tutorials, and step-based tutoring software exercises. Surveys using both quantitative and qualitative analysis were conducted over three semesters and showed positive reactions from 72-83% of students. These results can lead to development of a full set of instructional materials centered around duality to enable improved learning of circuit analysis.
- Award ID(s):
- 1821628
- Publication Date:
- NSF-PAR ID:
- 10286471
- Journal Name:
- IEEE Frontiers in Education
- Sponsoring Org:
- National Science Foundation
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