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Record W2917491032 · doi:10.5539/ijel.v9n2p219

English Language Learning Beliefs of Jordanian Students: The Effect of Gender

2019· article· en· W2917491032 on OpenAlexvenueno aff
Khaleel Bader Al Bataineh

Bibliographic record

VenueInternational Journal of English Linguistics · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsConstructiveEnglish languagePsychologyMathematics educationLanguage acquisitionEnglish as a foreign languageProcess (computing)PedagogyComputer science

Abstract

fetched live from OpenAlex

English language learning beliefs play a key role in the language learning process, especially among EFL (English as a foreign language) learners. This study seeks to clarify English learning beliefs among EFL students in Jordan, and to examine whether female and male learners differ in these beliefs. Horwitz’s (1987) Language Learning Beliefs Inventory (BALLI) was adapted to gather relevant data from 83 English major participants at a private university during regular classes. Frequency analysis and T-tests were then performed utilizing SPSS. The findings demonstrate that while Jordanian students are not sure about language difficulty, they are highly enthusiastic about learning the English language. Furthermore, female and male students only had significantly different results in two aspects of BALLI: 1) motivation and expectations and 2) difficulty of language learning. Hopefully, the results will provide constructive insights to lecturers concerning students’ beliefs about learning English, which will help improve the English-learning process in Jordanian universities.

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)0.001
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.941
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.281
Teacher spread0.270 · 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 designNot applicable
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

Citations14
Published2019
Admission routes1
Has abstractyes

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