MétaCan
Menu
Back to cohort
Record W1961486491 · doi:10.22329/celt.v3i0.3234

4. Responding to the Challenging Dilemma of Faculty Engagement in Research on Teaching and Learning and Disciplinary Research

2010· article· en· W1961486491 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCollected Essays on Learning and Teaching · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsDilemmaScholarship of Teaching and LearningScholarshipHigher educationDisciplineTerminologyPedagogySociologyValue (mathematics)Teaching and learning centerTeaching methodCommunity engagementPsychologySocial sciencePolitical sciencePublic relationsEpistemologyComputer science

Abstract

fetched live from OpenAlex

Over the past two decades, the scholarship of teaching and learning (SoTL) has received increased attention in academe. Broadly conceptualized as an area which combines the experience of teaching with the scholarship of research, and the dissemination of this knowledge such that the broader academic community can benefit from this scholarly product, SoTL has been regarded as a primary means to increase the quality and value of teaching in higher education. This paper explores five challenges which contribute to the dilemma of faculty engagement in research on teaching and learning: limited expertise, the graduate studies culture, terminology (SoTL is widely misunderstood), reward and recognition, and time constraints. Responses to these challenges are presented in hopes of contributing to a positive dialogue for change, where faculty engagement in research on teaching and learning not only continues to grow, but becomes firmly grounded as an essential scholarly activity within higher education.

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 imitation

Not 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.

metaresearch head score (Codex)0.103
metaresearch head score (Gemma)0.066
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1030.066
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0150.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.014
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.327
GPT teacher head0.555
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it