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Record W2186304318 · doi:10.5539/ijel.v5n6p75

The Relationships among Motivation, Learning Styles and English Proficiency in EFL Music Students

2015· article· en· W2186304318 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of English Linguistics · 2015
Typearticle
Languageen
FieldPsychology
TopicLearning Styles and Cognitive Differences
Canadian institutionsnot available
FundersGuangdong University of Foreign Studies
KeywordsLearning stylesPsychologyMathematics educationStyle (visual arts)PreferenceContext (archaeology)English as a foreign languageMathematics

Abstract

fetched live from OpenAlex

<p>This paper reports a study on the relationships among motivation, learning styles and English proficiency in a Chinese context. 308 students who studied English as a foreign language (EFL) were sampled from seven departments in Xinghai Conservatory of Music. Quantitative data were collected through an on-line survey to address three questions: 1) Do music students have a particular learning style preference? 2) What are the relationships among motivation, learning styles and English proficiency? 3) How could EFL teachers better accommodate students’ motivation and learning styles to improve their English proficiency? Nonparametric Kruskal-Wallis tests showed that music students varied a lot in their preferences of learning styles, thus problematising the practice of using one learning style to gloss over the preferences of music students. Correlation analyses demonstrated that a) motivation and English proficiency was moderately correlated; b) none of the learning styles was correlated with English proficiency, except that active students performed slightly worse in the final exam; c) students who favoured the visual style were found to be less motivated. In light of these findings, we discuss the methods of grouping students and revamping EFL course content from English for General Purposes to English for Specific Purposes for music students.</p>

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.

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)0.191
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.815

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.191
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)0.0000.000

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 head0.054
GPT teacher head0.333
Teacher spread0.279 · 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