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Record W2402744390

Analyzing equality of participation in collaborative inquiry: toward a knowledge community

2010· article· en· W2402744390 on OpenAlexaff
Hedieh Najafi, James D. Slotta

Bibliographic record

VenueInternational Conference of Learning Sciences · 2010
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumUnit (ring theory)Class (philosophy)Mathematics educationScience classCollaborative designCollaborative learningComputer sciencePedagogyScience educationPsychologyKnowledge management
DOInot available

Abstract

fetched live from OpenAlex

This paper shares preliminary findings from a designed-based study of the Knowledge Community and Inquiry (KCI) model for secondary science curriculum. We investigate the impact of the model on students' cooperative knowledge construction and their understanding of the science of climate change. Working closely with a science teacher, we co-designed a 10-week curriculum unit with small group and whole class collaborations across two participating classrooms. We present detailed analysis of the wiki content created by two groups of students, revealing a positive correlation between students' contribution to collaborative inquiry activities and their achievements in the curriculum. This finding suggests the need for increased scaffolding to support symmetric participation in collaborative inquiry so that both high and low achieving students benefit from such collaborative science curriculum activities.

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)0.021
metaresearch head score (Gemma)0.119
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.119
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.002
Science and technology studies0.0020.004
Scholarly communication0.0050.006
Open science0.0010.007
Research integrity0.0010.001
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 head0.285
GPT teacher head0.531
Teacher spread0.245 · 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 designNot applicable
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

Citations6
Published2010
Admission routes1
Has abstractyes

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