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Record W2945429397 · doi:10.5539/ijel.v9n3p330

Bilingualism as the Medium of Educational Instruction: An Exploratory Study of Student and Teachers’ Views in Lebanon

2019· article· en· W2945429397 on OpenAlexvenueno aff
Nahla Nola Bacha

Bibliographic record

VenueInternational Journal of English Linguistics · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsMedium of instructionNeuroscience of multilingualismContext (archaeology)Exploratory researchLingua francaPsychologyPreferencePedagogyMathematics educationSociologyLinguisticsSocial scienceGeography

Abstract

fetched live from OpenAlex

Bilingualism as the medium of educational instruction in institutions has led to much controversy. The challenge, however, for policy makers is to address the issue of what languages are to be the medium of instruction and the place of the home and minority languages in EFL contexts as English becomes the lingua franca worldwide. Further, research has shown that bilingual students when compared to monolingual students perform better in academic institutions as they have developed higher cognitive skills required for learning. Although bilingualism as the medium of instruction has been researched and has become more common in institutions worldwide, it is under researched in L1 Arabic contexts especially in the Lebanese multilingual/cultural context from the student and teachers’ point of view. This paper reports on an exploratory survey study of student and teachers’ preferences in one English medium institution in Lebanon as to what language(s) they prefer to study in at both the pre and university levels. Main findings indicate that both students and teachers show a high preference for bilingualism as the medium of instruction at both the pre and university levels with English the priority medium. Implications and recommendations for future research are made.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.034
GPT teacher head0.320
Teacher spread0.287 · 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 designQualitative
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

Citations8
Published2019
Admission routes1
Has abstractyes

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Same venueInternational Journal of English LinguisticsSame topicSecond Language Learning and TeachingFrench-language works237,207