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Record W1508825972 · doi:10.22329/celt.v2i0.3219

25. Engaging New Faculty in Reflection and Inquiry About Their Teaching

2009· article· en· W1508825972 on OpenAlexaffvenueabout
Clive Hickson, Margaret Wilson

Bibliographic record

VenueCollected Essays on Learning and Teaching · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsNorQuest CollegeUniversity of Alberta
Fundersnot available
KeywordsScholarshipFaculty developmentScholarship of Teaching and LearningReflection (computer programming)Professional developmentTeaching methodTeaching and learning centerPedagogyValue (mathematics)Mathematics educationHigher educationPsychologySociologyMedical educationComputer scienceMedicinePolitical science

Abstract

fetched live from OpenAlex

Similar to faculty development offerings at other North American post-secondary institutions, the University of Alberta has delivered orientations and short programs that primarily focus on teaching techniques. While this type of professional development is an important element of enhancing teaching, the literature stresses the need for learning opportunities that encourage reflection as well as time for practice and experimentation. Building upon programs and services already in existence, and in alignment with the University of Alberta’s new vision, a formally structured teaching program called the new professor Teaching program was developed and piloted with faculty. The purpose of the program was to engage new professors in the understanding of the academic scholarship of teaching and provide a supported environment for innovation in their teaching. A research study was undertaken to understand how this new program engaged newly hired faculty in reflection and stimulated inquiry about their teaching. The findings of the data collected from the participants indicated that the program was a success and of value. All participants remarked that the program was helpful in developing their teaching repertoire and extending their knowledge of how to become effective teachers.

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.

How this classification was reachedexpand

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.003
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 head0.120
GPT teacher head0.442
Teacher spread0.322 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes3
Has abstractyes

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