Exploring teaching effectiveness and research on teaching and learning at AACSB accredited business schools in Canada and the US
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose This study explores the implementation of two Association to Advance Collegiate Schools of Business (AACSB) standards by business schools across Canada and the US. First, this study examines how teaching effectiveness is defined and measured in light of Standard 7 (Teaching Effectiveness and Impact). Second, this study explores the value of research on teaching and learning in relation to Standard 8 (Impact of Scholarship). Design/methodology/approach This study adopts a thematic analysis framework based on data obtained from an online survey, semi-structured interviews, and policy documents. Findings The results reveal that business schools rarely define teaching effectiveness; instead, they adopt various measures to evaluate teaching effectiveness. The results reveal that research on teaching and learning alone usually does not lead to tenure; however, it is valued if part of a portfolio that includes discipline-specific research. Lastly, this research highlights a stigma associated with research on teaching and learning relative to discipline-specific research. Practical implications This study introduces a comprehensive and integrated teaching evaluation framework that can be adopted to define teaching effectiveness and elevate the teaching function. In addition, the authors argue that business schools should nurture a niche set of academics that holds PhDs in their respective disciplines and are education experts to increase the production of research-informed instructional strategies curated for business schools. Originality/value This is the first study to explore how AACSB standards related to teaching effectiveness and research on teaching and learning are interpreted and implemented at AACSB accredited business schools.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it