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Record W137529511

Office Hours as Teachable Moments: Structuring Student-Instructor Interactions Outside the Classroom

2014· article· en· W137529511 on OpenAlexaff
Michelle Deborah Majeed

Bibliographic record

VenueScholarship@Western (Western University) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCasualEnthusiasmFeelingPsychologyMedical educationTeachable momentIntimidationQuality (philosophy)PedagogyMathematics educationMedicineSocial psychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Students and instructors often approach office hours with an equal lack of enthusiasm. For students, office hours can be inaccessible due to scheduling conflicts or feelings of intimidation when approaching their instructor. For instructors, many report that students do not show up and when they do the visits are brief and linked to assessments. Despite this ambivalence, this workshop argues that office hours are an untapped and significant pedagogical tool to support student-faculty interactions and improve student outcomes.\nSubstantial research highlights the benefits of student-faculty interaction outside the classroom. In the literature, office hours are the predominant form of communication and informal faculty-student interactions have been shown to support students’ academic performance and personal growth. Researchers have found that the frequency of informal interactions that focused on academic topics had a significant positive influence on students. Studies also note that structured interactions have a greater impact than those that were more casual in nature. Additional research has highlighted that it is not necessarily the frequency but the quality of the interactions that supports positive student outcomes.\nThe purpose of this workshop is to provide participants with strategies to increase opportunities for teaching outside the classroom, and specifically during office hours.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.005
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.154
GPT teacher head0.426
Teacher spread0.272 · 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 designObservational
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
Published2014
Admission routes1
Has abstractyes

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