Our evidence-based practice paper explores the ongoing course transformation efforts of participants in a Teaching Excellence Network (TEN) at Rutgers University. TEN was funded by a 5-year NSF IUSE grant as part of a multidisciplinary collaboration of science and engineering faculty and Learning Centers staff. We discuss two of our faculty participants, and how their course transformations have been shaped by their participation in TEN.
Many of our STEM departments have hired full-time, teaching-focused faculty. Whereas the population of teaching-focused faculty is larger in non-engineering departments, there are fewer within the School of Engineering. We designed our TEN to bring siloed faculty together, bridging the departmental gaps separating faculty with a shared interest in teaching practice. In doing so, we aimed to reduce barriers to pedagogical improvement while motivating faculty towards said improvement.
Authors APC and EW share their experiences teaching and transforming large enrollment computer science and engineering courses. Both APC and EW participated in the TEN and have been influenced by their experiences. TEN has broadened their professional networks and connected them with teaching focused faculty across campus, and has deepened their understanding of student cognition and learning. Both APC and EW have also found that their participation in the TEN has supported them in building a stronger sense of community in their courses. Their students express higher satisfaction, stronger bonds with each other, and higher success.
Author APC teaches a large, introductory Computer Science course for majors. This course was formerly a “weeder course” with high DFW rates, and poor retention of underrepresented minority students. Author APC has focused on improving both course and departmental attitudes towards inclusive and supportive practices. Believing that inclusion and community building support student success and wellbeing, Author APC has transitioned the course from a competitive atmosphere in which only the best survive to a collaborative atmosphere in which students all support each other in mastering course skills and content.
Author EW teaches a large engineering course that includes students from across multiple years within the major. Her goal was to make this large course (two to three lecture sections of several hundred students) “feel like a small classroom”. She wanted students to be more engaged and connected with the material. She has found that the inclusion of undergraduate Learning Assistants (LAs) has enabled productive student groupwork throughout the class. At the same time, a paucity of instructor time (many students compared to available LAs/instructors) has allowed her to foster a classroom culture of students supporting each other. Students are encouraged to reach out to neighboring groups, sharing expertise and information with each other when an instructor isn’t immediately available.
We will discuss the experiences of Authors APC and EW, and how participation in TEN has supported these experiences and led to greater success. This paper will connect our Structuration and Expectancy-Value Theory framework previously presented at ASEE to the experiences of program participants, even long after participation. We will summarize our work in a talk.
http://orcid.org/0000-0002-5124-1387
Rutgers, The State University of New Jersey
[biography]
http://orcid.org/0000-0002-5739-7024
Rutgers, The State University of New Jersey
[biography]
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