Institutional Adoption of Blended Learning: Analysis of an Initiative in Action
Bibliographic record
Abstract
This instrumental case study explored some preliminary impacts of a 7-year blended learning initiative (BLI) at a medium sized Canadian university on student learning. Building on the Community of Inquiry (CoI) framework, two research questions directed the investigation: (1) What are the preliminary impacts of a BLI on student learning? (2) What are the actual lived experiences of students, professors, and administrators in a university-wide BLI? Preliminary impacts reveal that student retention appears to be greater in blended courses as opposed to traditional ones, and no significant differences were observed for student grades in the campus-wide roster of courses. Both students and instructors shared that an intentional synergy of in-class instructional practices and online activities added value to a course and had a positive impact on student learning. The viewpoints of the three key stakeholders were very different concerning themes such as motivating factors and mechanisms for support; these themes need to be taken into account and weighted carefully.
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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 | 0.016 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".