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Record W2000306219 · doi:10.3115/1600053.1600084

Co-designing curricula to promote collaborative knowledge construction in secondary school science

2009· article· en· W2000306219 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumGeneral partnershipMathematics educationProcess (computing)Computer scienceSet (abstract data type)Understanding by DesignPedagogyCurriculum theoryKnowledge managementCurriculum developmentSociologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

We describe a two-year study of a rich secondary science curriculum that was codesigned in close partnership with teachers, technology specialists and even school administrators. The goal of the research was to provide empirical support for a recent model of learning and instruction that blends the two perspectives of knowledge communities and scaffolded inquiry. A design-oriented method was employed, where the first iteration of the curriculum was evaluated in terms of its fit to the model, as well as its impact on student learning. Based on a set of design recommendations, a much more substantive curriculum was developed for the second iteration, leading to rich measures of student collaboration and deep understanding of the targeted science concepts. This paper describes our co-design process, which allowed teachers to lead the curriculum design and classroom enactment while researchers contributed design guidelines according to the theoretical model.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.417
Teacher spread0.391 · 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

Citations14
Published2009
Admission routes1
Has abstractyes

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