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Record W2091845533 · doi:10.5539/ass.v10n13p46

Students’ Motivational Orientations and Attitude toward English Learning: A Study in the Deep South of Thailand

2014· article· en· W2091845533 on OpenAlexvenueno aff
Eunyoung Cho, Adisa Teo

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPositive attitudeSignificant differenceOrientation (vector space)Social psychologyMathematics education

Abstract

fetched live from OpenAlex

This study investigates students’ L2 motivational orientations and attitude which are major components of L2 motivation. The concepts of integrative and instrumental orientations and attitude in this study were adopted and adapted from Gardner’s socio-educational model (1985). 219 M.3 (Grade 9) students in all six governmental secondary schools in the three southernmost cities in Thailand, namely Pattani, Yala, and Narathiwas participated in this study. The questionnaire with 10 items assessing the students’ integrative and instrumental orientations and attitude was the main instrument. The results indicate that the students have strong instrumental orientation together with moderately high integrative orientation and favorable attitude. All three motivational components were found significantly different between the male and female students. In regard to the difference between the students with and without experience in English speaking countries, significant difference was on integrative orientation. Last, there was no significant difference on integrative and instrumental orientations and attitude between the students with the above and below average English grade.

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 score0.329
Threshold uncertainty score0.699

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.298
Teacher spread0.266 · 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

Citations10
Published2014
Admission routes1
Has abstractyes

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