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Record W2979352982 · doi:10.5539/ies.v12n11p8

Teacher Development Through Coaching and Mentoring Integrated with the 21st Century Instructional Strategies

2019· article· en· W2979352982 on OpenAlexvenueno aff
Goachagorn Thipatdee, Narat Chaichana, Apirak Kamsanor

Bibliographic record

VenueInternational Education Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingPsychologyMathematics educationTest (biology)Faculty developmentSession (web analytics)Professional developmentMedical educationPedagogyMedicineComputer science

Abstract

fetched live from OpenAlex

The research aimed to develop and evaluate teacher concepts and performances before and after training through coaching and mentoring procedures integrated with the 21st century instructional strategies of project-based learning, problem-based learning, and research-based learning. The subjects were 96 teachers teaching at schools under the jurisdiction of Si Sa Ket Primary Education Office 3, Si Sa Ket Province, Thailand, purposively selected from 11 schools with lower average scores of ordinary national educational test (ONET) than those of the national level. The results revealed the teachers gained better concepts since the posttest scores were significantly higher than those of the pretest at the .01 level. The teachers’ performances were at a level of pass with distinction, they satisfied with the training session at a higher level, and their composed lesson plans were at a fair level.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.073
GPT teacher head0.431
Teacher spread0.357 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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