MétaCan
Menu
Back to cohort
Record W2012305689 · doi:10.5539/ass.v8n10p3

Group Work in the Secondary ESL Classroom

2012· article· en· W2012305689 on OpenAlexvenueno aff
Gopala Krishnan Sekharan Nair, Uzah Alwee

Bibliographic record

VenueAsian Social Science · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsMalayPsychologyLikert scalePerceptionMathematics educationWork (physics)Group workEast coastScale (ratio)Descriptive statisticsExperiential learningSocial psychologyPedagogyGeographyDevelopmental psychologyEngineeringLinguisticsMathematicsStatistics

Abstract

fetched live from OpenAlex

This study involves a survey on student’s perceptions on whether group work is enjoyable, interesting, promotes interaction and an effective mechanism of learning. It further investigated if gender and performance in English had any bearing on group work. The instrument used consisted of four sections. Section A is for the descriptive data, while section B, C and D use a Likert scale where ‘5’ was the most positive answers. The sample of 70 respondents was randomly chosen from a semi urban school in the East Coast state of Terengganu. There were 27 males and 43 females and all of them were 16-year-old Malay Form Four students. The findings indicated that the students found group work to be enjoyable, interesting and promoted interaction. They also perceived it to be an effective means of learning. Through comparison of means and t-testing, it was established that there was no significant different between the genders in their inclination towards group work. Co-relational analysis indicated that there was no significant relationship between the students English language performance in their keenness towards group work. For future research, the study should be conducted in a longer period and in experiential way.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.030
GPT teacher head0.266
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicEFL/ESL Teaching and LearningFrench-language works237,207