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Record W2952880694 · doi:10.1080/10494820.2019.1627666

Deliberative collaboration in learning-by-designing multimodal modeling activities

2019· article· en· W2952880694 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

VenueInteractive Learning Environments · 2019
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsWestern University
Fundersnot available
KeywordsComputer scienceHuman–computer interactionEducational technologyInstructional designMultimodalityKnowledge managementMultimediaMathematics educationWorld Wide WebPsychology

Abstract

fetched live from OpenAlex

Collaboration is often emphasized as one of the key twenty-first century competencies to promote scientific literacies through many representational modes. However, collaborative interactions have been often characterized as a coordinated, synchronous, and symmetrical activity in terms of the same level of knowledge with little attention paid towards addressing deliberative inquiry and its eclectic nature through multimodal resources. This paper aims to revisit the notion of deliberative collaboration by revisiting Dewey's curriculum theories. As part of a series of design-based research, this qualitative case study reports collaborative learning processes among a group of five Singapore astronomy amateurs with the facilitator in a multimodal modeling workshop. Through the lens of Cultural-Historical Activity Theory, two contradictions were defined as a driving force to co-construct their conceptual understanding of distance and size of celestial objects and co-design multimodal models. This paper concludes with implications for supporting deliberative collaboration in scientific literacies.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.345
Teacher spread0.330 · 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