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Record W4402653964 · doi:10.5430/wjel.v15n1p479

Professional Competencies of English Language Teachers: A Literature Review

2024· review· en· W4402653964 on OpenAlexvenueno aff
Wali Muhammad Channa, Mazen Omar Almulla, Zafarullah Sahito, Abdulaziz Mohammed Alismail, Shokhayeva Karlygash Nurlanovna, Nadia Irshad

Bibliographic record

VenueWorld Journal of English Language · 2024
Typereview
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
FundersKing Faisal University
KeywordsEnglish languageComputer scienceMathematics educationPsychology

Abstract

fetched live from OpenAlex

Professional competence is a dynamic process that improves working quality resulting in a teacher's professional development and self-improvement. Teachers' beliefs, best practices, and a supportive work environment are all essential factors in the development of professional competence during the span of a teacher's profession. Likely, teachers' notions of what teaching is and how it should be successfully done have an impact on the way they teach and learn. To be competent in their field, instructors must appreciate the value of reliable and well-maintained facilities, continuous training, workshops, appropriate learning environments, independent use of learning materials, and successful teaching methods. This entails mastering teaching and learning processes, resources, and educational technologies. Professional competence in education also involves the ability to motivate students, as well as high levels of talent and knowledge of the educational environment. This study based on a review of the literature aims to examine the professional competence of instructors and to improve teaching and learning methods in the classroom. The findings paint the picture of teacher professional development in the education environment for effective teaching and learning.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.649
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.302
Teacher spread0.279 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2024
Admission routes1
Has abstractyes

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