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Record W2765884635 · doi:10.5539/ies.v10n11p63

The Efficacy of a PD Program on Enhancing On-The-Job Teaching Skills

2017· article· en· W2765884635 on OpenAlexvenueno aff
Gihan Sidky

Bibliographic record

VenueInternational Education Studies · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMathematics educationTeaching methodMedical educationThe artsClass (philosophy)PedagogyComputer scienceMedicine

Abstract

fetched live from OpenAlex

This study assessed the methods of teaching English course taught at the general diploma at the college of Graduate Studies in Education, Cairo University in light of English teachers’ needs and expectations. The Methodology course was reconstructed using the premises of students centered teaching techniques and taking into consideration what is identified by teachers as their basic needs to improve teachers’ linguistic skills and to allow teachers to get acquainted with recent teaching techniques that focus on enhancing the qualifications of the graduate students. The participants in the study were 50 English teachers who graduated from faculties of tongues and arts, English major. They were studying to get a general diploma in education. Some of them had different years of English teaching experience and others never taught in their life. Three instruments were implemented to elicit teachers’ needs from the methods of teaching English course: a pilot study to elicit teachers’ needs and expectations of the methodology course and a directed questionnaire that resulted in a number of suggested topics to be included in the methodology course. A pre and a posttest were administered before and after the implementation of the program to record changes in teachers’ knowledge and skills due to the application of the revised course. Teachers’ responses showed that the participants were dissatisfied with the topics and applications offered by the methods of teaching English course in its first form and suggested a number of topics and applications to be added to satisfy their future needs and expectations. The program was revised and reconstructed in light of teachers’ needs and it was taught for two semesters during the academic year 2014/ 2015. The results showed a noticeable improvement in teachers’ knowledge and skills, which were manifested in teachers’ responses to the posttest.

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)0.000
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.075
GPT teacher head0.430
Teacher spread0.355 · 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 designOther design
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
Published2017
Admission routes1
Has abstractyes

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