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Record W3154566304 · doi:10.4236/jss.2021.94010

Factors that Influence the Teaching of the English Language during the Transition from Primary to Secondary School in Eighth-Grade Students from Guayaquil

2021· article· en· W3154566304 on OpenAlexfundno aff
Israel Guillermo Bravo Bravo, María Palmira Alves

Bibliographic record

VenueOpen Journal of Social Sciences · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaUniversidade do MinhoInternational Council for Canadian Studies
KeywordsMathematics educationEnglish languageSample (material)PsychologyDescriptive statisticsFace (sociological concept)Transition (genetics)PedagogyMedical educationMedicineChemistrySociologyMathematics

Abstract

fetched live from OpenAlex

This study’s general objective was to determine the influence of the factors that impact the English language teaching during the transition from primary to secondary school in eighth-grade students in public education in Guayaquil city. The current research was developed under the positivist approach, with a non-experimental, cross-sectional, descriptive, and correlational type. A 24 response items questionnaire gathered quantitative data through a survey technique with a sample of 469 English teachers. The results obtained indicate the relationship between English language learning acquired by the students and the required preparation to face academic content in greater quantity and complexity. It also shows the teacher-student relationship, considering the need for the teacher to apply higher and progressive content adapted to the results of the diagnosis of previous knowledge in students and the implementation of activities that promote the establishment of close relationships with the student.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.048
GPT teacher head0.376
Teacher spread0.328 · 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
Published2021
Admission routes1
Has abstractyes

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