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Record W4402722968 · doi:10.5539/jel.v13n6p274

Unlocking Listening Proficiency: Integrating English Movies in Thai EFL Secondary Education

2024· article· en· W4402722968 on OpenAlexvenueno aff
Narueta Hongsa, Pattharaporn Wathawatthana, Lalita Arlakun, Oraya Buarapa

Bibliographic record

VenueJournal of Education and Learning · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSubtitles and Audiovisual Media
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningPsychologyAudio equipmentListening comprehensionLanguage proficiencyMathematics educationPedagogyCommunication

Abstract

fetched live from OpenAlex

This study investigates the impact of integrating English movies on the listening comprehension and attitudes of tenth-grade EFL students at a school in Kalasin Province, Thailand. Despite the pivotal role of listening skills in language acquisition, EFL learners often face limited exposure to listening materials, leading to challenges in comprehension. Employing a mixed-methods approach, the study explores the relationship between English movie usage and students’ listening comprehension and evaluates their perceptions of movie integration in the classroom. The participants, consisting of 33 tenth-grade students, underwent pre-tests and post-tests to assess listening proficiency, followed by questionnaires and semi-structured interviews to examine attitudes toward integrating movies in the classroom context. Following instruction through English movies, the findings indicate a significant improvement in students’ English listening comprehension. Moreover, students displayed positive attitudes toward integrating movies as a learning tool, recognizing their potential to create an enjoyable and enriching learning experience.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.016
GPT teacher head0.285
Teacher spread0.269 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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