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Record W4389869504 · doi:10.5539/elt.v17n1p26

Digital Literacy: Enhancing English Reading Comprehension Among Foreign Language Students

2023· article· en· W4389869504 on OpenAlexvenueno aff
Thanchanok Rochanaphapayon

Bibliographic record

VenueEnglish Language Teaching · 2023
Typearticle
Languageen
FieldComputer Science
TopicDigital literacy in education
Canadian institutionsnot available
Fundersnot available
KeywordsReading comprehensionPsychologyReading (process)Mathematics educationComprehensionLiteracyForeign languageTest (biology)PedagogyComputer scienceLinguistics

Abstract

fetched live from OpenAlex

Digital literacy has become an essential tool for authentic communication, information accessibility, and reading development. To enhance reading comprehension among English as a foreign language (EFL) students, an effective reading instruction that integrated technology into language teaching should incorporate digital literacy. This mixed-method study aimed to examine how digital literacy enhanced EFL students' reading comprehension and what focus areas of the digital literacy they employed within and beyond the classroom. Thirty Thai high school students participated in this digital literacy instruction for ten weeks. Findings from the Wilcoxon signed-rank test on the reading comprehension test revealed that the digital literacy enhanced EFL students' reading comprehension, particularly reading and evaluating information from texts. They reported from the questionnaire and semi-structured interviews that they tended to access and process information through the focus area of communicating and information in digital literacy for better comprehension beyond the classroom.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0040.007
Open science0.0020.001
Research integrity0.0000.001
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 head0.006
GPT teacher head0.279
Teacher spread0.273 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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