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Record W4321499418 · doi:10.5430/wjel.v13n2p340

Filipino Neophyte ESL Teachers amidst Covid-19 Pandemic: A Phenomenological Inquiry

2023· article· en· W4321499418 on OpenAlexvenueno aff
Russel J. Aporbo

Bibliographic record

VenueWorld Journal of English Language · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPronunciationGrammarPsychologyCommunicative competenceMathematics educationCompetence (human resources)Communicative language teachingThematic analysisAnxietyComputer scienceLanguage educationLinguisticsPedagogyQualitative researchSociology

Abstract

fetched live from OpenAlex

This phenomenological study investigated the lived experiences of Filipino neophyte ESL teachers amidst Covid-19 pandemic. Data were collected from seven (7) ESL teachers who already have three (3) months to one (1) year teaching experience in handling non-native speakers of English language. Based from the thematic analysis, the experiences of the identified participants were anxiety as initial reaction, fear of committing grammatical and pronunciation errors, difficulty of motivating students, students’ lack of knowledge on the target language, difficulty on students’ pronunciation and grammar, improves teachers; communicative competence and evaluating students’ four macro skills. Moreover, the different teaching strategies used were using reinforcement, various teaching methodologies, utilizing interactive materials, building rapport, tracking students’ performance and scaffolding. The findings of this study are valuable in the field of language teaching and applied linguistics to understand the various strategies that can be employed to address the needs of non-native speakers of English language. Further, this can be used by future ESL teachers in improving their pedagogical competence in handling ESL synchronous classes.

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)0.002
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.394
Teacher spread0.315 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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