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Development of a Community of Science Teachers: Participation in a Collaborative Action Research Project

2009· article· en· W2004794004 on OpenAlexaff
Xavier Fazio

Bibliographic record

VenueSchool Science and Mathematics · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsAction researchCurriculumPedagogyScience educationCommunity of practiceProfessional developmentNature of ScienceCommunity of inquiryMathematics educationSociologyPsychology

Abstract

fetched live from OpenAlex

This article presents a study exploring the beliefs, knowledge, and practices of four middle and secondary science teachers participating in a collaborative curriculum action research project. Using a case study methodology, the views and practices of these teachers were described and analyzed as they investigated novel ideas about scientific inquiry and nature of science, critically examined their practice, and implemented and reflected upon modified curricular practices. Findings indicated that by the end of the study, all participants had enhanced their views of scientific inquiry and nature of science, and the collaborative group evolved as a community of teachers. Wenger's (1998a) community of practice theory provided a useful framework to describe and analyze the experiences of these science teachers. Implications for the professional development of science teachers and the compatibility between a community of practice and collaborative action research projects are presented.

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)0.038
metaresearch head score (Gemma)0.053
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 score0.038
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0380.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0210.014
Scholarly communication0.0110.007
Open science0.0030.013
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.505
GPT teacher head0.578
Teacher spread0.074 · 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

Citations21
Published2009
Admission routes1
Has abstractyes

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