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Record W2990525468 · doi:10.22316/poc/04.2.04

Using Group Coaching to Foster Reflection and Learning in an MBA Classroom

2019· article· en· W2990525468 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

VenuePhilosophy of Coaching An International Journal · 2019
Typearticle
Languageen
FieldPsychology
TopicCoaching Methods and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingReflection (computer programming)PsychologyMathematics educationGroup (periodic table)PedagogyComputer sciencePhysicsPsychotherapist

Abstract

fetched live from OpenAlex

Group coaching may facilitate individual learning and change over time through the social processes of learning vicariously and learning through feedback. While anecdotal evidence shows there may be potential benefits of applying group coaching to a graduate school learning environment, there are several challenges which warrant consideration. After examining the findings of Ostrowski's (2018) study of the individual learning and change processes involved in group coaching, this paper outlines the role of group coaching in the design and implementation of a three-course series in a graduate business program. The personal reflections of students in the program shed light on group coaching's potential benefits, yet research is needed to substantiate their claims. The paper concludes by considering some of the challenges of applying group coaching in the classroom.

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)0.003
metaresearch head score (Gemma)0.000
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 score0.136
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.116
GPT teacher head0.433
Teacher spread0.317 · 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