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Record W4386947697 · doi:10.61468/jofdl.v26i2.527

Supporting English Language Development of English Language Learners in Virtual Kindergarten: A Parents’ Perspective

2023· article· en· W4386947697 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Open Flexible and Distance Learning · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPerspective (graphical)Thematic analysisPsychologyLanguage developmentLanguage acquisitionBreakoutComputer-mediated communicationPedagogyMathematics educationQualitative researchDevelopmental psychologyComputer scienceThe InternetSociologyWorld Wide Web

Abstract

fetched live from OpenAlex

The researchers of this case study explored English language learner (ELL) parents’ experience as they supported their children’s English language development in an online (virtual) kindergarten programme. One-on-one semi-structured interviews were used to collect data. Then the researchers used thematic analysis to describe the participants’ lived experience with the phenomenon. Findings indicated that online learning increased the emotional stressors for parents of ELL children, and altered the communication between parents and teachers. Meanwhile, the use of breakout rooms reinforced the children’s language development, and translation services supported parents. Based on the findings, the researchers recommend that schools and boards provide the parents and families of multilingual learners with ongoing workshops to give them the tools and confidence to continue supporting their children in person and online. They also recommend a greater investment in translation services.

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.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.091
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.389
Teacher spread0.349 · 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