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Record W2916578856 · doi:10.5430/ijhe.v8n1p171

How do Academic Faculty Members Perceive the Effect of Teaching Surveys Completed by Students on Appointment and Promotion Processes at Academic Institutions? A Case Study

2019· article· en· W2916578856 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Higher Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPromotion (chess)HarmMedical educationPsychologyMedicinePolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

It is commonly thought that the promotion of faculty members is affected by their research performance. The current study is unique in examining how academic faculty members perceive the harm or damage to academic appointment and promotion processes, as a direct effect of student evaluations as manifested in teaching surveys. One hundred eighty two questionnaires were collected from senior faculty members at academic institutions. Most respondents were from three institutions: Ariel University, Ben Gurion University, and the Jezreel Valley College. Qualitative and statistical research tools were utilized, with the goal of forming a model reflecting the effect of the harm to academic appointment and promotion processes, as perceived by faculty members. The research findings show that the lecturers find an association that causes harm to their promotion processes as a result of student evaluations. Assuming that students' voices and their opinion of teaching are important – the question is how should these evaluations be treated within promotion and appointment processes: what and whom do they indicate? Do they constitute a reliable managerial tool with which it is possible to work as a foundation for promotion and appointment processes – or should other tools be developed, unrelated to students' opinions?

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.124
GPT teacher head0.514
Teacher spread0.390 · 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