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A Theoretical Model of Collaborative Inquiry-Based Group Development Process

2014· book-chapter· en· W2483847035 on OpenAlexaboutno aff
Diana J. Wong‐MingJi, Gina N. Wong

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsGrounded theoryPedagogyProcess (computing)Resource (disambiguation)Social capitalProfessional developmentQualitative researchSociologyCollaborative learningIdentity (music)Community of inquiryMathematics educationPsychologySocial scienceComputer science

Abstract

fetched live from OpenAlex

Abstract This chapter develops a theoretical model of a collaborative inquiry-based group development process with a grounded theory approach. The purpose of this research study is to examine how educators engage in collaborative inquiry-based group development processes that transform their professional identity and pedagogical practices. Qualitative research data comes from the Livingstone Inquiry Group (LIG) in Vancouver, Canada. It is a longitudinal case study of inquiry-based pedagogies (IBPs) in a community of learners. They started in 2007 with members representing K-12 teachers, resource staff, administrators, higher education, and union organizations. The model outlines generative dynamics between social capital and relational learning which support pedagogical paradigm shifts in the group’s collaboration. Implications of this study provide direction for research regarding inquiry-based learning in higher educational institutions as an important forum for sustainable professional development of teachers as life-long learners.

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.445
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.065
GPT teacher head0.381
Teacher spread0.316 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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