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Record W2334850582 · doi:10.5539/ijel.v6n2p85

A Qualitative Study of Reading Comprehension: An Insight from Pakistani Context Bridging the Needs of Engineering Students

2016· article· en· W2334850582 on OpenAlexvenueno aff
Mansoor Ahmed Channa, Zaimuariffudin Shukri Nordin, Insaf Ali Simming, Ali Asgher Chandio

Bibliographic record

VenueInternational Journal of English Linguistics · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsBridging (networking)Reading comprehensionMathematics educationReading (process)ComprehensionQualitative researchComputer scienceContext (archaeology)PsychologyPedagogyLinguisticsSociology

Abstract

fetched live from OpenAlex

This study aimed to investigate the teachers’ opinions in terms of reading comprehension instruction to the engineering students for bridging their difficulties in reading academic text in communication subject. The study was conducted in the four engineering departments of one university in Pakistan. Semi-structured interviews of 10 teachers were used as a qualitative instrument to collect data for this study to know the needs of engineering students in terms of reading comprehension. The data was analyzed through NVivo version 8 for interpretation of the results. This study provided the most promising findings to develop reading ability among engineering students. The findings revealed that teachers should use rereading text, text scanning, and text skimming strategies to develop reading comprehension ability of engineering students.

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)0.006
metaresearch head score (Gemma)0.011
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 score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0100.007
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.403
Teacher spread0.358 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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