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Record W2527059958 · doi:10.33524/cjar.v17i2.259

USING ELECTRONIC READERS: ACTION RESEARCH IN AN INTERMEDIATE ADULT ESL CLASS

2016· article· en· W2527059958 on OpenAlexaffvenue
Monica Fraser, Marilyn L. Abbott

Bibliographic record

VenueThe Canadian Journal of Action Research · 2016
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsNorQuest CollegeUniversity of Alberta
Fundersnot available
KeywordsReading (process)Action researchClass (philosophy)Key (lock)Action (physics)Mathematics educationPsychologyPedagogyComputer scienceLinguisticsArtificial intelligence

Abstract

fetched live from OpenAlex

The use of portable electronic reading devices in the English as a second language (ESL) classroom has the potential to positively impact learners’ reading engagement and language skill development. However, due to the lack of research, few guidelines are available to inform instructors of the benefits and challenges of using these devices in ESL classes. Therefore, the key objective of this action research project was to explore 21 intermediate adult ESL learners’ experiences using e-readers in an extensive e-reading program. Results indicated that the use of e-readers increased the learners’ volume and frequency of reading and enhanced their reading enjoyment when compared with their reading of paper books.

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)0.010
metaresearch head score (Gemma)0.009
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 score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.004
Scholarly communication0.0050.003
Open science0.0030.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0070.002

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 head0.365
GPT teacher head0.430
Teacher spread0.065 · 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

Citations4
Published2016
Admission routes2
Has abstractyes

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