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Record W3044128537

Quelques assises pour valoriser le développement des connaissances spatiales à l’école primaire

2020· article· fr· W3044128537 on OpenAlexaboutno aff
Patricia Marchand

Bibliographic record

VenueRecherches en didactique des mathématiques · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

espanolEste articulo presenta una herramienta teorica desarrollada en el marco de una investigacion colaborativa sobre la elaboracion de secuencias de ensenanza destinadas a desarrollar conocimientos espaciales (CS por sus siglas en frances) de alumnos de la escuela primaria. Los CS son distintos de los conocimientos geometricos y a la vez son indisociables de ellos. Como ya han senalado varios autores anteriormente, estos conocimientos generan diversas dificultades de aprendizaje y de ensenanza en el ambito actual de la ensenanza de la geometria en la provincia de Quebec y en otros lugares del mundo. Los resultados del presente estudio se integran en un campo de investigacion actualmente en pleno auge en didactica de las matematicas. Asimismo, este articulo presenta el avance de los saberes didacticos orientados al desarrollo de los CS en la escuela por medio de la elaboracion de una herramienta teorica llamada “Estructura generadora de actividades” (SGA por sus siglas en frances) a fin de orientar las practicas docentes. Esta herramienta pretende ser una estructura en la confluencia de los saberes didacticos y de los saberes practicos. francaisCet article presente un outil theorique qui a ete developpe dans le cadre d’une recherche collaborative portant sur l’elaboration de sequences d’enseignement visant le developpement des connaissances spatiales (CS) des eleves du primaire. Les CS sont distinctes des connaissances geometriques, mais elles en sont egalement indissociables. Comme plusieurs auteurs l’ont releve avant nous, les CS engendrent diverses difficultes d’apprentissage et d’enseignement dans le cadre actuel de l’enseignement de la geometrie au Quebec et ailleurs dans le monde. Les resultats decoulant du present projet et portant sur les CS s’integrent dans un champ de recherche actuellement en plein essor en didactique des mathematiques. Le present article expose ainsi l’avancement des savoirs didactiques ciblant le developpement des CS a l’ecole par le biais de l’elaboration d’un outil theorique intitule « Structure generatrice d’activites » (SGA) pour guider les pratiques enseignantes. Cet outil vise a etre une structure a la croisee des savoirs didactiques et des savoirs pratiques. EnglishThis article presents a theoretical tool developed as part of a collaborative study dealing with the development of teaching sequences aimed at developing spatial knowledge (CS according to the French acronym) of primary school students. Spatial and geometrical knowledge are distinct, but they also are closely intertwined. As many authors have noted before us, spatial knowledge can generate many learning and teaching difficulties within the current framework for teaching geometry in Quebec as well as elsewhere in the world. Results from this project on CS are part of the booming field that is math teaching research. This article presents the advancement of didactic knowledge targeting the development of CS at school through the development of a theoretical tool called Activities Generating Structure (SGA according to the French acronym) to guide teaching practices. This tool aims to be a structure at the crossroads of didactic knowledge and practical knowledge.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.252
GPT teacher head0.405
Teacher spread0.153 · 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 designTheoretical or conceptual
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

Citations4
Published2020
Admission routes1
Has abstractyes

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