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Record W2970137468 · doi:10.5430/wjel.v9n2p74

EFL at Greek Second Chance Schools: Examining the Learning Needs of Muslim Adult Learners

2019· article· en· W2970137468 on OpenAlexvenueno aff
Eleni F. Kazantzi, Makrina Zafiri

Bibliographic record

VenueWorld Journal of English Language · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicJewish Identity and Society
Canadian institutionsnot available
Fundersnot available
KeywordsCredibilityPerspective (graphical)Face (sociological concept)Relation (database)PoliticsPsychologyOrder (exchange)PedagogyForeign languageEnglish as a foreign languageMathematics educationSociologyPolitical scienceComputer scienceSocial scienceBusinessLaw

Abstract

fetched live from OpenAlex

Discussions pertaining to minorities and their issues in education have recently been particularly heated in Greece, as changes which have occurred in Greece, Europe and at an international level, have triggered political and social turmoil and a reevaluation of cultural identities. The present paper attempts to contribute to this debate, concentrating on the Greek Muslim minority and their attempt to learn English as a foreign language (EFL) at Second Chance Schools (SCSs). The aim of this research is to explore Muslim individuals’ learning needs in relation to EFL at SCSs, the reasons which prompt them to learn the foreign language, as well as the difficulties they encounter in their quest for this knowledge. Therefore, both quantitative and qualitative methods of data collection were applied to increase the credibility and validity of the results. In addition, the issue was examined through the perspective of both learners and adult educators in order to present a more comprehensive picture of the situation. The findings have shown that Muslim learners have associated the benefits of learning English with practical matters such as communicating while travelling abroad and enhancing their professional prospects. As for the learning obstacles they face, these pertain to typical issues in adult learning such as lack of time and fatigue, as well as their deficient knowledge of the Greek language, which can interfere with their learning. Finally, both learners and instructors agree that learning English at SCSs could be upgraded with more teaching hours per week and appropriate infrastructure.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.263
Teacher spread0.249 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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