Preliminary Results from a High-Resolution Analysis of Accreditation Data to Assess Indicators, Identify Predictors and Assess Equitability of Teaching Practices
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The Department of Chemical and Biological Engineering (CHBE) at UBC has undertaken a high-resolution analysis of its accreditation data with the aim to identify any correlations between students’ declared gender, visa status (international or domestic), performance in individual indicators, course grades, and/or overall program GPAs. The hope is to extract meaningful information about the value of the indicators used in collecting information about our programs, increase the reliability of the data collected by reviewing those indicators that do not yield actionable data, identify predictors of student performance, and identify biases, if any, in the success rates of our students. This paper presents the results of the first steps of this analysis, using four core courses spanning CHBE’s programs. Correlations between performance in different indicators is represented by interaction heat maps and scatterplots, and performance by gender or student status are represented as violin plots. This paper serves as a proof of concept for this type of analysis, highlighting the value of this high-resolution look at accreditation data.
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While programs collect large amounts of accreditation data, the lack of systematic analysis limits the ability to detect trends and identify potential issues with validity and reliability.
“While programs collect large amounts of accreditation data, the lack of systematic analysis limits the ability to detect trends and identify potential issues with validity and reliability.”
From Examining longitudinal patterns and course-level correlations in CEAB graduate attributes (2026) · cites this paper as [6]
Learning outcome data is aggregated to yield trends for accreditation and program decisions, but it is seldom examined for targeted program improvement and to assess the reliability of indicators.
“The learning outcome data is aggregated to yield trends for the purposes of accreditation process and to inform program decisions, but it is seldom examined for targeted program improvement and to assess the reliability of indicators [6].”
From Examining longitudinal patterns and course-level correlations in CEAB graduate attributes (2026) · cites this paper as [6]
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Research works printed but not linked: 3
- A.M. Parker, E. Watson, M. Ivey, J.P. Carey, Approaches to Graduate Attributes and Continual Improvement Processes in Faculties of Engineering Across Canada: A Narrative Review of The Literature, in: Can. Eng. Educ. Assoc. Conf., 2019.
- G. Potvin, J. Verrett, Curriculum Renewal for Better Design-Related Student Outcomes in Second-Year Chemical and Biological Engineering, in: Can. Eng. Educ. Assoc. Conf., 2021.
- R. Vaez Ghaemi, G. Potvin, Experimenting with labs: Practical and pedagogical considerations for the integration of problem-based lab instruction in chemical engineering, Can. J. Chem. Eng. (2021). https://doi.org/10.1002/cjce.24136. · DOI
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Examining longitudinal patterns and course-level correlations in CEAB graduate attributes
Poitras, E. G., Poitras, G. J., & Ozyonum, E. (2026) · Proceedings of the Canadian Engineering Education Association (CEEA) · doi:10.24908/pceea.2026.21655
- Authors
- Hosseini, M., Vaez Ghaemi, R., & Potvin, G.
- Affiliations
- University of British Columbia (CA)
- ORCID
- Hosseini, Mohammad
- Venue
- Proceedings of the Canadian Engineering Education Association (CEEA)
- Publisher
- Queen's University Library
- Published
- 2022-11-01
- ISSN
- 2371-5243 (ISSN-L)
- OpenAlex
- W4308912381
- Cited by
- 1
- References
- 0
- Citations by year
- 2024: 1
- FWCI
- 0.10
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Proceedings of the Canadian Engineering Education Association (CEEA) (publishedVersion, cc-by-nc-sa)
- Topics
- Physical Sciences › Engineering › Media Technology › Engineering Education and Curriculum Development
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Education › Higher Education Research Studies
- Keywords
- engineering accreditation, student performance indicators, gender disparities, international students, visa status, data reliability
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