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Record W2911714791 · doi:10.18806/tesl.v35i2.1291

The Efficacy of Academic Reading Strategy Instruction among Adult English as an Additional Language Students: A Professional Development Opportunity Through Action Research

2018· article· en· W2911714791 on OpenAlexvenueaboutno aff
Raj Khatri

Bibliographic record

VenueTESL Canada Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyReading comprehensionReading (process)Action researchIntervention (counseling)PedagogyMedical educationMedicineLinguistics

Abstract

fetched live from OpenAlex

This action research project empirically evaluated the efficacy of reading strategy instruction to help advance adult English as an additional language (EAL) students’ development of academic reading skills and strategy use. The study involved 16 adult participants attending English for Academic Purposes (EAP) programs in British Columbia. These participants received reading strategy instruction over nine sessions during a 6-week period. To capture participants’ reading strategy use, Mokhtari and Sheorey’s Survey of Reading Strategies instrument was used in the pre- and post-intervention stages. Similarly, to measure participants’ reading comprehension abilities, an identical, standardized reading comprehension test was administered in the pre- and post- intervention stages. Participants’ weekly post-task verbal reflections and post-intervention interviews provided qualitative data for the study. Findings showed that reported reading strategy use obtained from the instrument and reading performance increased significantly after the intervention. The results from the analysis of participants’ reflections and interviews revealed a positive association between participants’ strategy use and reading performance. Conducted as a part of professional development, this study aims to resolve EAP professionals’ practical concerns about the use of reading strategies in academic reading as well as provide action researchers with suggestions for future implementation.
 Ce projet de recherche-action a permis d’effectuer une évaluation empirique de l’efficacité de l’enseignement de stratégies de lecture afin de faire avancer le développement des compétences académiques de lecture et du recours aux stratégies de lecture chez les étudiants adultes inscrits à un cours d’anglais comme langue additionnelle. Ont participé à l’étude 16 adultes inscrits à des programmes d’anglais académique en Colombie-Britannique. Ces participants ont pris part à neuf séances d’enseignement de stratégies de lecture sur une période de 6 semaines. L’instrument de mesure Reading Strategies de Mokhtari et Sheorey a été utilisé pour évaluer le recours des participants aux stratégies de lecture avant et après la période d’intervention. Un test identique et standardisé de compréhension de la lecture a également été administré avant et après la période d’intervention afin d’évaluer les capacités de compréhension des participants. Les réflexions verbales offertes par les participants après les exercices et les entrevues réalisées après l’intervention ont produit des données qualitatives pour l’étude. Celle-ci a permis de constater un accroissement significatif du recours aux stratégies de lecture fournies par l’instrument et de la performance de lecture suite à l’intervention. Les résultats de l’analyse des réflexions et des entrevues des participants ont permis de constater une association positive entre l’utilisation de stratégies de lecture et la performance de lecture des participants. Menée dans le cadre du perfectionnement professionnel, cette étude vise à répondre aux inquiétudes pratiques des professionnels de l’enseignement de l’anglais académique relativement au recours aux stratégies de lecture tout en fournissant aux praticiens et praticiennes de la recherche-action des suggestions à mettre en œuvre dans le futur.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.104
GPT teacher head0.461
Teacher spread0.357 · 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 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

Citations3
Published2018
Admission routes2
Has abstractyes

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