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Record W2163981939 · doi:10.5539/ies.v5n3p148

An International Knowledge Building Network for Sustainable Curriculum and Pedagogical Innovation

2012· article· en· W2163981939 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueInternational Education Studies · 2012
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSociotechnical systemCurriculumAgency (philosophy)Knowledge managementCorporate governanceNature versus nurtureSociologyMathematics educationPedagogyBusinessComputer sciencePsychology

Abstract

fetched live from OpenAlex

This paper presents the results of the first phase (2007-2009) of a design experiment, the Knowledge Building International Project (KBIP), in which K-12 teachers from several countries collaborate as a loosely coupled network of networks with a common goal—to implement technology-supported knowledge building jointly across their classrooms. There was a visible increase in agency at all levels of the network: students, teachers and school senior management, resulting in deepening levels of pedagogical innovation over time, as well as changes in governance in response to the innovation as a result of self-organization. These are emergent features characteristic of complex systems that cannot be explained by a traditional model of change as diffusion. This study adopts Banathy’s dimensions for systemic educational design to identify the key features of the sociotechnical design that nurture and sustain the innovations upon which these teachers embarked within and beyond their own schools.

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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.781
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.249
GPT teacher head0.584
Teacher spread0.335 · 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