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Record W1723768247

English Camp Activities: A Strategy to Enhance Students’ English Proficiency

2011· article· en· W1723768247 on OpenAlexvenueno aff
Nur Salina Ismail, Izah Mohd Tahir

Bibliographic record

VenueStudies in literature and language · 2011
Typearticle
Languageen
FieldComputer Science
TopicEnglish Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPsychologyEnglish languageValue (mathematics)PedagogyMedical educationComputer scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

Indoor or outdoor activities are part of the learning and teaching process. Activities can be of value added to students especially if they perceived positively and appreciate their contents. The purpose of this paper is to evaluate the effectiveness of the English camp activities organised by the Faculty of Languages and Communication, University Sultan Zainal Abidin, Terengganu, Malaysia. The evaluations of the activities are based on the course objectives, activities covered and facilitators. In addition, the study also examines the benefits, types of improvement to be considered and the satisfaction level. The study was carried out in May to June 2010. Of 114 students taking TESL (Teaching English as a Second Language) from Semester Two and Four, 73 students participated in the survey giving a response rate of 64 percent. Key words: Teaching And Learning; TESL; Effectiveness; English Camp Activities

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.014
GPT teacher head0.312
Teacher spread0.298 · 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 designObservational
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

Citations11
Published2011
Admission routes1
Has abstractyes

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