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Record W2284242368 · doi:10.1080/87567555.2015.1062741

Mentored Teaching, or How I Learned to Stop Worrying and Love Teaching

2016· article· en· W2284242368 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

VenueCollege Teaching · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsCarleton University
Fundersnot available
KeywordsPerspective (graphical)ScholarshipTeaching methodTeaching and learning centerScholarship of Teaching and LearningPedagogyFaculty developmentMathematics educationProcess (computing)Student teachingPsychologySociologyMedical educationProfessional developmentTeacher educationComputer scienceMedicineStudent teacherPolitical science

Abstract

fetched live from OpenAlex

The purpose of this paper is to describe the Mentored-Teaching Program (MTP), an initiative in the development of graduate student teaching through discipline-based mentored-teaching practice. We begin with a brief overview of what is required to create a seminar in university teaching and the MTP from the departmental perspective. We then turn our focus to the benefits of the MTP for students and teachers specifically from the perspective of the mentor. Finally, the student mentee describes her experiences, applying a theoretical framework taken from the scholarship of teaching and learning in identifying four different lenses from which she came to understand her development as a teacher through this program. Overall, the MTP (in combination with the seminar in University teaching) emphasizes not only the importance of teaching as a collaborative process, but also the importance of combining theory with practice in order to develop into critically reflective 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.

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)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science 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 score0.891
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.055
GPT teacher head0.409
Teacher spread0.354 · 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