Evaluating Exploratory Reading Groups for Supporting Undergraduate Research Pipelines in Computing
Torres-Mendoza, David M.; Kheirinejad, Saba; Ajmal, Mustafa; Chembu, Ashwin; Palea, Dustin; Whitehead, Jim; Lee, David T. (2024-08-12)
Torres-Mendoza, David M.
Kheirinejad, Saba
Ajmal, Mustafa
Chembu, Ashwin
Palea, Dustin
Whitehead, Jim
Lee, David T.
ACM
12.08.2024
Torres-Mendoza, D. M., Kheirinejad, S., Ajmal, M., Chembu, A., Palea, D., Whitehead, J., & Lee, D. T. (2024). Evaluating exploratory reading groups for supporting undergraduate research pipelines in computing. Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1, 389–405. https://doi.org/10.1145/3632620.3671104
https://creativecommons.org/licenses/by/4.0/
© 2024 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License.
https://creativecommons.org/licenses/by/4.0/
© 2024 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License.
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202409095762
https://urn.fi/URN:NBN:fi:oulu-202409095762
Tiivistelmä
Abstract
This paper reports on a summative analysis of Exploratory Reading Groups (ERGs), a low time-commitment, relational, student-led reading group program designed to provide students from any background and year with a broad exploration of computing research. Since prior work, the program was institutionalized as a 1-credit course with a greater emphasis on strengthening pipelines into research labs. In analyzing 3 quarters of data from 136 participants, we found diverse indicators of impact. Surprisingly, despite the lightweight nature of the program (∼ 2 hours/week), we observed a statistically significant increase in satisfaction with their intellectual development at the university; confidence in reading, presenting, and communicating about their field; sense of belonging for women and minoritized ethnic groups; alignment with faculty goals in joining research labs (greater desire to make a research contribution and publish, decreased desire to join for the purpose of exploration); and engagement in the ‘reconsideration’ dimension of career identity formation. Over 70% of the participants continued on into group research projects for undergraduate students. The effectiveness of this scalable, lightweight initiative shows the promise of ERGs as a tool to support students in computing when connected to group research projects and points to future research directions on designing other lightweight, relational, scalable learning experiences.
This paper reports on a summative analysis of Exploratory Reading Groups (ERGs), a low time-commitment, relational, student-led reading group program designed to provide students from any background and year with a broad exploration of computing research. Since prior work, the program was institutionalized as a 1-credit course with a greater emphasis on strengthening pipelines into research labs. In analyzing 3 quarters of data from 136 participants, we found diverse indicators of impact. Surprisingly, despite the lightweight nature of the program (∼ 2 hours/week), we observed a statistically significant increase in satisfaction with their intellectual development at the university; confidence in reading, presenting, and communicating about their field; sense of belonging for women and minoritized ethnic groups; alignment with faculty goals in joining research labs (greater desire to make a research contribution and publish, decreased desire to join for the purpose of exploration); and engagement in the ‘reconsideration’ dimension of career identity formation. Over 70% of the participants continued on into group research projects for undergraduate students. The effectiveness of this scalable, lightweight initiative shows the promise of ERGs as a tool to support students in computing when connected to group research projects and points to future research directions on designing other lightweight, relational, scalable learning experiences.
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