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Growing the Top: Examining a Mentor–Coach Professional Learning Network

2020· book-chapter· en· W3025887004 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingContext (archaeology)BespokePedagogyProfessional developmentPsychologyPopularitySituatedFaculty developmentProfessional learning communityQuality (philosophy)Medical educationMedicinePolitical scienceComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

Abstract International educational research has shown that high quality coaching, mentoring, and induction for beginning teachers can enhance development and retention of highly effective teachers and, ultimately, increase student success. In Canada, like many jurisdictions, teacher induction programs have grown in popularity as a means to support beginning teachers, yet programs vary greatly in terms of delivery and effectiveness. This chapter presents the findings from a qualitative case study that examined one bespoke teacher induction program in the Western Québec School Board (WQSB). Specifically, it reports on the experience of mentor–coaches (MC) who are part of the school district’s Mentoring and Coaching Fellowship (MCF). In the district, mentoring and coaching are viewed as distinct, yet interconnected components of an effective induction program. In the WQSB, teaching fellows and MCs learn together in a social and situated context (Lave & Wenger, 1991) as they focus on four key elements: the practice of teaching, navigating school and district culture, what it means to be a teacher, and the formation of a teaching identity. Research has shown effective coaching and mentoring programs not only enhance teaching and learning, but also they offer powerful benefits to veteran teachers. With mentoring and coaching practice highly diverse and inconsistent depending on the quality of the relationship and the context, it is clear that effective selection, support and professional learning and development for MCs is essential. This chapter examines the strengths and challenges of the school district’s Mentor–Coach Professional Learning Network (MC PLN) from the perspective of network members. Data collected from questionnaires, focus groups and semi-structured interviews were abductively analyzed with and against Brown and Poortman’s (2018) five supporting conditions for effective PLNs. Study findings indicated that the MC PLN offers valuable professional learning and development for participants and is a critical feature in a powerful induction program that also focuses on “growing the top.” However, challenges also emerged that highlight the need for the district to ensure ongoing attention to the PLN’s structure and processes in order to sustain MC motivation, engagement, and commitment.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.959
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.317
Teacher spread0.270 · 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

Quick stats

Citations6
Published2020
Admission routes1
Has abstractyes

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