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Record W1644612030

Facilitating Reading Comprehension among Engineering Students: Acquiring Successful Strategies

2012· article· en· W1644612030 on OpenAlexvenueno aff
Zohreh Ziyaeeimehr

Bibliographic record

VenueStudies in literature and language · 2012
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsReading comprehensionGrammarMathematics educationComprehensionReading (process)Test (biology)PsychologySignificant differenceReciprocal teachingComputer scienceLinguisticsMedicine
DOInot available

Abstract

fetched live from OpenAlex

Abstract The present study aimed at finding out the effect of two different methods of reading instruction, namely, the traditional grammar translation method and reading comprehension strategies on improving the reading comprehension of Iranian engineering students. The participants included 40 male and female Iranian university students majoring in chemistry that randomly divided into two groups of experimental and control. The participants in the experimental group were taught their textbooks focusing on reading comprehension strategies, while the participants in the control group were exposed to the conventionally-used grammar-translation method. Having run 10 sessions of instruction, the performances of the two groups were compared with each other by an independent-samples t-test to find possible differences between the two groups. The findings were indicative of the effective role of reading comprehension strategies on the reading comprehension of Iranian university students. Key words : ESP; Reading Comprehension Strategies; English for 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 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)0.000
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 score0.139
Threshold uncertainty score0.732

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.017
GPT teacher head0.365
Teacher spread0.347 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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