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Features of using information technologies in teaching French as a native and foreign language in schools in France, Canada, Morocco, and Russia

2025· article· ru· W7109984391 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRUDN Journal of Informatization in Education · 2025
Typearticle
Languageru
FieldComputer Science
TopicArtificial Intelligence in Education
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchForeign languageKey (lock)Information technologyLanguage educationHigher educationAP French LanguageTeaching method

Abstract

fetched live from OpenAlex

Problem statement. France, Canada, Morocco and Russia have different unique experiences of using information technologies (IT) in teaching French to school students. At the same time, the digital educational resources used in these countries accommodate diverse approaches and methodologies for teaching. Against this backdrop, a key problem is the near absence of comparative analysis examining how modern information technologies are employed in French language education across different countries. It is advisable to identify best practices and, based on these findings, develop recommendations for optimizing relevant teaching approaches in Russian schools. Methodology . The study employs a comparative analysis of existing approaches to teaching French and using IT across different countries, development of corresponding recommendations for Russian schools and experimentally verifying the effectiveness of the proposed approaches and digital resources. Results . The digital educational resources have been rated in compliance with the defined evaluation criteria. The comparative analysis results yielded recommendations for implementing IT in Russian schools based on international experience and the conducted pedagogical experiment confirmed the hypothesis that examining approaches and comparatively analyzing the specifics of using information technologies in teaching French as both a native and foreign language in Francophone countries (France, Canada, and Morocco) and taking into account the results of such an analysis when improving the methodological system of teaching French in Russia enhances the effectiveness of student preparation. Conclusion . The study established criteria for a comparative analysis of the use of IT in French language education across different countries, which made it possible to identify the specifics of their use in France, Canada, Morocco and Russia. Based on these results, recommendations have been developed to enhance the methodological framework for teaching French in Russian schools. It has been experimentally confirmed that the use of IT based on international experience enhances student learning outcomes.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0000.005
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.285
Teacher spread0.281 · 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