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Record W3048735330 · doi:10.5430/ijhe.v9n7p298

Special Features of Foreign-Languages Teaching at Higher Education Institution

2020· article· en· W3048735330 on OpenAlexvenueno aff
Oksana Petrenko, Iana Andriushchenko, Hanna Truba, Vladyslava V. Shcherbytska, Lesia I. Syniavska

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsForeign languagePedagogyContext (archaeology)PerceptionIntercultural communicationOpenness to experienceCommunicative language teachingIntercultural relationsCommunicative competenceIntercultural competenceInstitutionMathematics educationPsychologyLanguage educationSociologySocial scienceSocial psychologyGeography

Abstract

fetched live from OpenAlex

The trend towards the development of intercultural communicative competences of students, the use of interactive teaching methods, the changing role of a teacher to a consultant in the teaching process necessitates highlighting the level of perception, knowledge and views of teachers on the intercultural approach in teaching. Based on the study of the experience of EU countries in the implementation of intercultural approach in the teaching of foreign languages and an enquiry of 32 teachers, the level of teachers’ perception of the intercultural approach was assessed. We have established the next points: 1) changes in the social and economic context require new approaches to the organization and provision of foreign language education; 2) shifting away from linguistic purity and correctness and the priority of a democratic society, openness to different cultures. This indicates that the social and educational environments are multilingual. The study proves a positive perception in increasing the level of knowledge concerning teachers’ intercultural communicative competences. Teachers confirm the importance of implementing an intercultural approach in teaching foreign languages. The scientific paper proves the convergence of developing countries, to advanced countries in the implementation of an intercultural approach to teaching foreign languagesat the local level. Nevertheless, the perception of intercultural competences as the best approach to teaching is at a mean level in Ukraine compared to EU countries.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.027
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0270.002

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 head0.021
GPT teacher head0.303
Teacher spread0.282 · 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 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

Citations4
Published2020
Admission routes1
Has abstractyes

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