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Record W4210578891 · doi:10.51657/ric.v5i2.51390

Approches et méthodologies d'inspiration vygotskiennes auprès de la Haute École spécialisée de la Suisse italienne

2022· article· fr· W4210578891 on OpenAlexvenueno aff
Fulvio Poletti

Bibliographic record

VenueRevue internationale du CRIRES innover dans la tradition de Vygotsky · 2022
Typearticle
Languagefr
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophySociology

Abstract

fetched live from OpenAlex

This work aims at illustrating the topicality of Vygotsky’s thinking with regard to the application of two educational devices – Problem Based Learning (PBL) and Problem Solving Cooperative (PSC) – at one of the eight Swiss professional universities: the University of Applied Sciences and Arts of Southern Switzerland (www.supsi.ch). The distinctive feature of these approaches is that of placing the student at the heart of the learning process, so that s/he becomes the protagonist in the acquisition of the knowledge and skills necessary for the exercise of their future profession; we focus on social and health areas. These two didactic practices engender a fruitful comparison with Vygotsky’s theoretical elaboration, especially with certain key concepts of his conceptual and methodological framework: the relevance of the historical-cultural context for the subject’s growth, the zone of proximal development, the heuristic force of social interaction (in a community/group) allowing the learner to build new cognitive tools, the centrality of metacognition for learning. The main claim is that, although Vygotsky carried out his research and observations especially with regard to childhood, his contribution may very well extend to the condition of adult learning.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.013
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.006
Science and technology studies0.0030.006
Scholarly communication0.0130.008
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.070
GPT teacher head0.374
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2022
Admission routes1
Has abstractyes

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Same venueRevue internationale du CRIRES innover dans la tradition de VygotskySame topicEducational and Psychological AssessmentsFrench-language works237,207