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Record W2995284713 · doi:10.5539/ijel.v10n1p15

Perceptions of Students and Teachers about Students’ Proficiency in English Language at Higher Secondary Level in Khyber Pakhtunkhwa, Pakistan

2019· article· en· W2995284713 on OpenAlexvenueno aff
Kifayatullah Khan, Wasal Khan

Bibliographic record

VenueInternational Journal of English Linguistics · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsKhyber pakhtunkhwaPsychologyPerceptionMathematics educationActive listeningLikert scaleMedical educationSignificant differencePedagogySociologyMedicineSocioeconomics

Abstract

fetched live from OpenAlex

This cross-sectional quantitative research was conducted to compare the average perceptions of students and teachers regarding students’ English language proficiency at the higher secondary level in Khyber Pakhtunkhwa, Pakistan. The participants were 1975 students and 108 teachers belonging to one each district of the seven divisions in Khyber Pakhtunkhwa, Pakistan. Data were collected through pre-tested questionnaire i.e., one each for students and teachers. To analyze the significance difference between the average perceptions of students and teachers about higher secondary students’ English language proficiency; independent samples t-test was applied. The findings of the study revealed significant difference in teachers’ and students’ perceptions regarding students’ partial command over English language; use of English in and beyond classroom; expressing views fluently in English; students’ listening, speaking and reading skills; while no significant difference was seen regarding students’ full command over English language and their writing skill.

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)0.013
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 score0.191
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.453
Teacher spread0.417 · 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.

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

Citations6
Published2019
Admission routes1
Has abstractyes

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