Diverse Methodological Approaches and Considerations for SoTL in Higher Education
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
The scholarship of teaching and learning (SoTL) is a distinctive form of research that is shaped by multi-disciplinary contexts and focuses on practice-driven institutional/curricula/classroom inquiries with an explicit transformational agenda. This essay provides critical insight to the importance of communities of SoTL practitioners, diverse investigations and methodological approaches within and across disciplines. For example, through an integrated and iterative process, a community of SoTL researchers plays a critical role to enhance and sustain on-going SoTL research. Equal to all forms of research endeavour, interpretations of SoTL research require a healthy scepticism, analysis of methodological rigour, and an openness to alternative perspectives and analysis. L'avancement des connaissances en enseignement et apprentissage (ACEA) dans l'enseignement supérieur est une forme de recherche distinctive façonnée par des contextes multidisciplinaires. Axée sur la pratique, elle est centrée sur caractérisée par des enquêtes sur des institutions, des programmes d’enseignement et des classes, tout en axée sur la pratique et visant un objectif transformationnel explicite. Cet essai fournit un aperçu critique de l’importance des communautés d’intervenants de l’ACEA et des diverses enquêtes et approches méthodologiques au sein de chaque discipline et entre elles. Par exemple, grâce à un processus intégré et itératif, la communauté des chercheurs en ACEA joue un rôle essentiel en améliorant la recherche continue sur ce sujet et en la soutenant. Indépendamment du sujet considéré, l’interprétation de la recherche sur l’ACEA suppose de faire preuve d’un scepticisme sain, d’analyser la rigueur méthodologique et d’être ouvert aux autres perspectives et analyses.
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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 | 0.035 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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