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Record W2290177845 · doi:10.20381/ruor-19871

EFL reading strategies of main idea comprehension and identification: Awareness and use of Arabic speaking university students

2008· dissertation· en· W2290177845 on OpenAlexaboutno aff
Seham Elashhab

Bibliographic record

VenueuO Research (University of Ottawa) · 2008
Typedissertation
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsArabicReading comprehensionIdentification (biology)Mathematics educationComprehensionReading (process)LinguisticsPsychologyComputer sciencePedagogyPhilosophy

Abstract

fetched live from OpenAlex

This study investigated the effects of reading comprehension strategy awareness and use on main idea comprehension and recall in first and second languages for Arabic-speaking Libyan university students. The research examined the effects of general reading proficiency, text difficulty and topic interest and familiarity on main idea comprehension. The study also examined whether there is a facilitatory relationship between awareness of reading comprehension strategies and their effective use. Participants were all university students majoring in Teaching English as a Second Language (TESL). There were 112 participants from Libya and 16 English speaking control participants from Canada. Reading comprehension strategy awareness was assessed via Mokhtari and Sheorey's (2002) Survey of Reading Strategy. The CanTEST was used to assess the English as a second language reading proficiency of the Arabic-speaking group, while the Nelson-Denny Reading Test served to assess L1 reading proficiency for the English-speaking group. An English reading text was administered to both groups and an Arabic reading text to the Arabic group only. The texts served as the basis for examining the English group's L1 and the Arabic group's L1 and L2 reading comprehension strategy use through their recall of the main ideas of these texts. A reader assessment questionnaire was employed to assess text difficulty, topic interest and familiarity. In addition, semi-structured reading strategy interviews were conducted individually with participants from the control and the experimental groups. The interviewees were randomly selected from within different reading proficiency groupings. Results revealed that reading comprehension strategy awareness had no effect on main idea comprehension in both L1 and L2 for the native Arabic group. The native English group had higher awareness of the three categories of reading strategies (Support, Global and Problem-solving) than the native Arabic group. The Problem solving strategy category was the most familiar to the native Arabic group. Results indicated that general reading proficiency did not affect the recall performance of main ideas for either group. Text difficulty and topic interest did not contribute to the comprehension and recall of main ideas, while topic familiarity was a factor in the recall performance of the native Arabic group. Qualitative analysis of the results indicated that the native English group effectively used more reading strategies than the native Arabic group, and that the native Arabic group did not actually use the strategies which they claimed the highest awareness of. Futhermore, they tended to misapply the strategies that they did use. These findings indicated that simply knowing about reading strategies does not necessarily result in being able to use them appropriately. We concluded that reading strategy awareness alone is not sufficient for the comprehension and recall of main ideas and that awareness needs to be accompanied by effective strategy use in order to have a positive impact on main idea comprehension and recall.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.447
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.112
GPT teacher head0.399
Teacher spread0.287 · 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 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

Citations4
Published2008
Admission routes1
Has abstractyes

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