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Record W114660570

A blended model for knowledge communities: embedding scaffolded inquiry

2008· article· en· W114660570 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

VenueInternational Conference of Learning Sciences · 2008
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumContext (archaeology)Mathematics educationKnowledge flowProcess (computing)Computer scienceUnit (ring theory)Knowledge managementPedagogySociologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

This study investigates a new approach that connects scaffolded inquiry activities within a knowledge building curriculum in secondary school science. We present a blended model that accounts for the flow of ideas within such a curriculum. Using a co-design methodology, researchers collaborated with veteran secondary science teachers to create engaging curriculum that provided the context for two studies. Study 1 created a four-day biology lesson where 104 grade-ten students developed a knowledge base of ideas about human physiology, then connected those ideas to inquiry activities. Students and teachers succeeded in collaborative knowledge construction, and individual students demonstrated impressive learning gains. Study 2 extended these principles to create an eight-week curriculum unit on biodiversity. This study replicated the co-design process, resulting in a successful curriculum, and further refined our technology environment. The outcomes of this work offer promising evidence for a blended model where knowledge building intersects with scaffolded inquiry.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.397
GPT teacher head0.489
Teacher spread0.092 · 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