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Record W2904376859 · doi:10.5539/elt.v12n1p134

The Impact of Student-Centered Instruction on EFL Learners’ Affect and Achievement

2018· article· en· W2904376859 on OpenAlexvenueno aff
Hassan M. Kassem

Bibliographic record

VenueEnglish Language Teaching · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyAffect (linguistics)Mathematics educationClass (philosophy)Academic achievementTest (biology)Test anxietyAchievement testAutonomyAnxietyStandardized test

Abstract

fetched live from OpenAlex

This study explored the relative effect of student- and teacher-centered instruction on EFL freshmen’s affect (anxiety, motivation, attitude, autonomy, self-efficacy and beliefs about English and its learning) and achievement. Two classes of English department freshmen at Shaqra University, KSA participated in the study. Students in the two classes completed a questionnaire probing the target affective variables. An independent t-test proved that the two classes were homogenous in affective variables before the treatment. The treatment class was taught according to student-centered instruction for an academic year. The control class was taught the same courses according to the conventional teacher-centered instruction. The students completed the questionnaire probing their affect. A composite mark of final exam marks of three courses was used as an index of achievement. Analyses of independent sample t-test proved that the treatment class outperformed the control class in all affective variables (except for instrumental motivation) and achievement.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.721

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 integrity0.0000.001
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 head0.022
GPT teacher head0.306
Teacher spread0.283 · 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

Citations47
Published2018
Admission routes1
Has abstractyes

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