Student Achievement of Institutional Learning Outcomes: Case Study of a Regional University in Western Canada
Bibliographic record
Abstract
Considerable attention has been paid to postsecondary students’ higher-order skill development, which has students, parents, employers, and politicians questioning the value of a university degree. Agreement over an essential common core of knowledge or skill sets cuts across the liberal education and employment education divide. Both sides agree that for life fulfillment and career success, students require literacy, numeracy, problem solving, critical thinking, and (intercultural) communication skills. Yet, assessing these types of complex qualitative skills has persistently presented as a significant challenge, with no clear guidance for postsecondary institutions. This paper presents a case study of a mid-sized regional university in Western Canada that has undertaken a multi-phased action research project to evaluate institutional learning outcomes using course-embedded capstone research papers in science and professional baccalaureate degree programs. Specifically, the study explored fourth-year students’ critical thinking and communication skills. The findings suggest that graduates have proficiency in technical communication and can clearly articulate their research topic and purpose with relatively few grammatical errors. However, attention needs to be given to students’ understanding and application of theories and research methodologies, coupled with explicit connections to foundational scholars. Further development is required in consistently defending multiple perspectives, avoiding dominance by a single viewpoint, and strengthening the use of quality scholarly evidence. The findings also suggest a need for students to develop awareness of and interrogate the historical and present-day impacts of their chosen discipline from multiple viewpoints. The case study offers valuable insights into the practice of institutional learning outcomes assessment in Canada, and globally.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".