Scaling and Adapting a Program for Early Undergraduate Research in Computing

Christine Alvarado; Joe Hummel; DIba Mirza; Renata Revelo; Lisa Yan

doi:10.1145/3478431.3499336

Scaling and Adapting a Program for Early Undergraduate Research in Computing

Christine Alvarado, Joe Hummel, DIba Mirza, Renata Revelo, Lisa Yan

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

The Early Research Scholars Program (ERSP) was launched in 2014 at UC San Diego as a way to provide the benefits of research experiences to a large and diverse group of students early in their undergraduate computing career. ERSP is a structured program in which second-year undergraduate computing majors participate in a group-based, dual-mentored research apprenticeship over a full academic year. In its first four years ERSP engaged 139 students with a high proportion of women (68%) and racially minoritized students (19%), and participation in ERSP correlated with increased class grades. In 2018 we partnered with three additional universities to launch their own version of ERSP. Implementations at our partner sites have seen similar diversity and initial success, and have taught us how to implement the program in different contexts (e.g. quarters vs. semesters, different credit structures). This paper describes the structure of ERSP and how it can be adapted to different contexts to construct a scalable and inclusive research experience for early-career undergraduates in computing and related fields.

Original language	English (US)
Title of host publication	SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education
Publisher	Association for Computing Machinery, Inc
Pages	50-56
Number of pages	7
ISBN (Electronic)	9781450390705
DOIs	https://doi.org/10.1145/3478431.3499336
State	Published - Feb 22 2022
Event	53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022 - Virtual, Online, United States Duration: Mar 3 2022 → Mar 5 2022

Publication series

Name	SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education
Volume	1

Conference

Conference	53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022
Country/Territory	United States
City	Virtual, Online
Period	3/3/22 → 3/5/22

Funding

We would like to thank the ERSP participants for agreeing to allowing their experiences to be studied. We would also like to thank all those who have helped us run ERSP over the years, and Burçin Tamer who has helped us evaluate the program. This material is based upon work supported by the National Science Foundation under Collaborative Grant Nos. 1821521, 1821415, 1821449, 1821501.

Keywords

computing
diversity
early undergraduates
scaling research
undergraduate research

ASJC Scopus subject areas

General Computer Science
Education

Access to Document

10.1145/3478431.3499336

Cite this

Alvarado, C., Hummel, J., Mirza, DI., Revelo, R., & Yan, L. (2022). Scaling and Adapting a Program for Early Undergraduate Research in Computing. In SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (pp. 50-56). (SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education; Vol. 1). Association for Computing Machinery, Inc. https://doi.org/10.1145/3478431.3499336

Alvarado, Christine ; Hummel, Joe ; Mirza, DIba et al. / Scaling and Adapting a Program for Early Undergraduate Research in Computing. SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education. Association for Computing Machinery, Inc, 2022. pp. 50-56 (SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education).

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abstract = "The Early Research Scholars Program (ERSP) was launched in 2014 at UC San Diego as a way to provide the benefits of research experiences to a large and diverse group of students early in their undergraduate computing career. ERSP is a structured program in which second-year undergraduate computing majors participate in a group-based, dual-mentored research apprenticeship over a full academic year. In its first four years ERSP engaged 139 students with a high proportion of women (68%) and racially minoritized students (19%), and participation in ERSP correlated with increased class grades. In 2018 we partnered with three additional universities to launch their own version of ERSP. Implementations at our partner sites have seen similar diversity and initial success, and have taught us how to implement the program in different contexts (e.g. quarters vs. semesters, different credit structures). This paper describes the structure of ERSP and how it can be adapted to different contexts to construct a scalable and inclusive research experience for early-career undergraduates in computing and related fields.",

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Alvarado, C, Hummel, J, Mirza, DI, Revelo, R & Yan, L 2022, Scaling and Adapting a Program for Early Undergraduate Research in Computing. in SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education. SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education, vol. 1, Association for Computing Machinery, Inc, pp. 50-56, 53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022, Virtual, Online, United States, 3/3/22. https://doi.org/10.1145/3478431.3499336

Scaling and Adapting a Program for Early Undergraduate Research in Computing. / Alvarado, Christine; Hummel, Joe; Mirza, DIba et al.
SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education. Association for Computing Machinery, Inc, 2022. p. 50-56 (SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Alvarado C, Hummel J, Mirza DI, Revelo R, Yan L. Scaling and Adapting a Program for Early Undergraduate Research in Computing. In SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education. Association for Computing Machinery, Inc. 2022. p. 50-56. (SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education). doi: 10.1145/3478431.3499336

Scaling and Adapting a Program for Early Undergraduate Research in Computing

Abstract

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Keywords

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