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Record W2294261811 · doi:10.1111/modl.12305

The Foreign Language Classroom: Current Perspectives and Future Considerations

2016· article· en· W2294261811 on OpenAlexaff
Laura Collins, Carmen Muñoz

Bibliographic record

VenueModern Language Journal · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsConcordia University
Fundersnot available
KeywordsGermanForeign languagePerspective (graphical)Mathematics educationPedagogySociologyPsychologyLanguage acquisitionLanguage educationLinguisticsComputer science

Abstract

fetched live from OpenAlex

The Modern Language Journal has long been an important venue for the publication of research and reflection on the teaching and learning of foreign languages (FL) in classroom contexts. In this article, we offer a perspective on the contemporary FL classroom, informed by a descriptive survey of all studies that took place in FL classes that were published in The Modern Language Journal ( MLJ ) between 2001 and 2014 inclusive ( N = 97). This yielded a profile of FL classrooms in terms of geographical locations, languages being taught, the amount and distribution of instructional time, and the age and language backgrounds of the students. The findings revealed that FL environments benefiting from research investigations in the MLJ typically involve older learners in on‐site (rather than virtual) classes that afford limited exposure to the FL, which was typically English (in non‐English‐speaking countries) and French, German, or Spanish (in English‐speaking countries). We consider the implications of these findings for the study of FLs in the future and identify aspects of FL classrooms that merit greater research attention as the MLJ moves into its second century.

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)0.016
metaresearch head score (Gemma)0.016
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: Review · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0060.007
Scholarly communication0.0140.020
Open science0.0030.006
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0170.002

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 head0.015
GPT teacher head0.249
Teacher spread0.234 · 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
GenreReview

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

Citations193
Published2016
Admission routes1
Has abstractyes

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Same venueModern Language JournalSame topicSecond Language Learning and TeachingFrench-language works237,207