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Faculty Engagement In Professional Development

2024· article· en· W4400405124 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.

Bibliographic record

VenuePapers on postsecondary learning and teaching. · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFocus groupStudent engagementPsychologyMedical educationPerspective (graphical)Professional developmentFaculty developmentAnxietyPedagogyMedicineSociologyComputer science

Abstract

fetched live from OpenAlex

Responses to the transition to online learning during the pandemic underscores the importance of faculty engagement in professional development (PD) to enhance their teaching practices. However, the creation and offering of PD opportunities does not always lead to faculty engagement. Using a change management perspective (the ADKAR framework), this paper examines the facilitators and barriers to instructor engagement in a self-paced, online PD program addressing instructional skills for managing students’ experiences of test anxiety in the classroom. Seven university faculty members participated in focus groups to share their experiences of a pilot PD program in the program. The focus group data were deductively analyzed using the ADKAR framework. Key themes were identified, corresponding to the outcomes of ADKAR: awareness, desire, knowledge, ability, and reinforcements. Findings emphasized the value of considering PD as a change project, while also recognizing staff well-being as a significant factor that impacts engagement with the change process.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.957
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.070
GPT teacher head0.427
Teacher spread0.357 · 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