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Record W4379259007 · doi:10.5430/wje.v13n2p12

Enhancing Life and Career Skills for Students in Khon Kaen Wittayayon School, Khon Kaen Province

2023· article· en· W4379259007 on OpenAlexvenueno aff
Anunporn Pulnitiporn, Phramaha Suphachai Supakicco

Bibliographic record

VenueWorld Journal of Education · 2023
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Medical educationCareer developmentPsychologyAction researchParticipatory action researchWork (physics)PedagogyMedicineSociologyEngineering

Abstract

fetched live from OpenAlex

The objective of this research was to enhance the life and career skills of the students at Khon Kaen Wittayayon School in Khon Kaen Province by utilizing participatory action research methodology that involved the development of three aspects: (1) changes in the expected and unexpected outcomes from the implementation, (2) learning gleaned from the implementation process for the researchers, co-researchers, and school, and (3) the theoretical knowledge grounded in the specific context of Khon Kaen Wittayayon School. The target group for the development of the research was students in Grades 10-12 at Khon Kaen Wittayayon School, with a total of 268 individuals. The research involved 2 cycles and was comprised of 10 steps. The results of the study indicated the following: (1) there were improvements in both expected and unexpected outcomes, both in cases in which the jointly developed development guidelines had been followed and in cases, in which the expected life and career skills had been developed; (2) the researchers, co-researchers, and school learned together about the effectiveness of collaborative work, which had helped everyone to see the inefficiency of the individual work that had been carried out in the past; and (3) the theoretical knowledge gained from the implementation, which explained the relationships between expected changes and the driving forces behind those changes, the barriers to change, and the strategies for overcoming those barriers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.025
GPT teacher head0.368
Teacher spread0.344 · 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.

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
Published2023
Admission routes1
Has abstractyes

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