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Record W2995046940 · doi:10.11575/prism/37112

Teacher Professional Learning, Agency, and Identity in a Research-Practice Partnership: A Cultural-Historical Activity Theory Analysis of Enacted Design-Based Professional Learning

2019· dissertation· en· W2995046940 on OpenAlexaboutno aff
Kirk Robert Linton

Bibliographic record

VenueOpen MIND · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipAgency (philosophy)Identity (music)PedagogyProfessional learning communityProfessional developmentSociologyPolitical scienceEngineering ethicsEngineeringSocial science

Abstract

fetched live from OpenAlex

Research-Practice Partnerships (RPPs) are an emerging practice in Alberta, Canada, and internationally. In RPPs, researchers and teachers collaborate to address messy problems of practice in naturalized settings. Ideally, the enactment of partner research initiatives leads to a reciprocal and mutually beneficial learning process for researchers and practitioners to improve practice and inform theory. However, there can be challenges to creating effective research partnerships. While a number of RPPs utilize participatory research approaches to advance theory and practice, little is known about how they impact teacher professional learning and how they are experienced by teachers in schools. This case study of an RPP between the Werklund School of Education at the University of Calgary, the Galileo Educational Network Association, and a large urban school district in Western Canada examined: (a) how the RPP was initiated, enacted, and assessed; (b) how teachers learned as a result of participating; and (c) how professional knowledge developed by participant teachers was shared and supported at the school level. RPPs can be examined as transformative interventions for expansive learning in schools. By applying cultural-historical activity theory (CHAT) to the enactment of the RPP, this research developed an understanding of how participation in the RPP led to deep teacher professional learning and how teachers experienced improved agency impacting their professional identity within their school activity system as a result. By employing case study as a methodology, this research developed a thick description of teacher professional learning, agency, and identity within the RPP that was initiated to improve the assessment literacy of 26 junior high school teachers from five schools through sustained design-based professional learning. Findings illustrate that teacher professional learning in the RPP was characteristic of effective professional learning in the literature reviewed, and in addition, employed teacher leadership as a means of deepening teacher learning. Findings also show that teacher participants in this RPP played an important boundary-crossing role between the school and university activity systems requiring them to negotiate, translate, and contextualize their learning into the naturalized setting of their school, resulting in changes in their classroom practice, improved agency in their schools, and shifting professional identities. Study findings can be used to inform the design of teacher professional learning, instructional and teacher leadership practices, and the design and enactment of future RPPs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.037
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0110.052
Scholarly communication0.0210.013
Open science0.0040.010
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.326
GPT teacher head0.584
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2019
Admission routes1
Has abstractyes

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