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Record W2414926682 · doi:10.29173/cais273

Children and Adults Working Together in the Zone of Proximal Development: A Concept for User-Centered Design

2013· article· fr· W2414926682 on OpenAlexaffvenue
Leanne Bowler, Andrew Large, Jamshid Beheshti, Valerie Nesset

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2013
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsZone of proximal developmentUsabilityPerspective (graphical)HumanitiesStructuringSociologyPsychologyComputer sciencePedagogyPhilosophyPolitical scienceHuman–computer interactionArtificial intelligence

Abstract

fetched live from OpenAlex

This paper explores the theory of a zone of proximal development from the perspective of usability research and user-centered approaches to the design of information retrieval systems. Using concrete examples (dialogue, tools and techniques) from the inter-generational design teams of Large et al, this study will show how structuring usability research around Vygotsky’s theory of a zone of proximal development can offer a robust conceptual framework for eliciting responses from children on information retrieval issues and for defining the role that children can play in the design process.Cet article présente la théorie de la zone prochaine de développement à partir de la perspective de la convivialité de la recherche et des approches orientées utilisateurs pour la conception de systèmes de recherche d’information. Utilisant des exemples concrets (dialogue, outils et techniques) tirés des équipes de conception intergénérationnelles de Large et al., cette étude démontrera comment la structuration de la convivialité de la recherche autour de la théorie de la zone prochaine de développement de Vygotsky peut offrir une cadre …

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 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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.005
Open science0.0010.001
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 head0.030
GPT teacher head0.229
Teacher spread0.199 · 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 teacher head, not a consensus.

Study designObservational
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

Citations8
Published2013
Admission routes2
Has abstractyes

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Same venueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSISame topicInnovative Approaches in Technology and Social DevelopmentFrench-language works237,207