MétaCan
Menu
Back to cohort
Record W3117228947 · doi:10.5539/jel.v10n1p39

The Development of English Competency-Based Curriculum Integrated with Local Community for High School Students

2020· article· en· W3117228947 on OpenAlexvenueno aff
Goachagorn Thipatdee

Bibliographic record

VenueJournal of Education and Learning · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumPsychologyMathematics educationCluster samplingTest (biology)Medical educationCurriculum-based measurementCurriculum mappingCurriculum developmentPedagogyMedicine

Abstract

fetched live from OpenAlex

The purposes of this research were to study needs of high school students and teachers on competency-based curriculum integrated with local community for high school students, develop a curriculum based on the needs, implement the developed curriculum, and evaluate the developed curriculum. The samples of the needs study stage consisted of 244 high school students, and 82 teachers in schools located in Ubon Ratchathani, and Warinchamrab Municipalities, gained by quota sampling, and those for the curriculum implementation consisted of 34 high school students studying at Luekamhan Warinchamrab School, in the second semester of academic year 2018, gained by cluster sampling. The research instruments were the developed curriculum, questionnaires for the students and the teachers, a test of English expression, a test of writing, and an attitude evaluation form. The findings revealed the students and the teachers rated their needs on competency-based curriculum at a higher level, the developed curriculum consisted of vision, mission to achieve the students’ competency through the aims, contents, and instructional procedures concentrated on practicing and the evaluation focused on performances, the students had significantly higher learning achievement and writing skills after the curriculum implementation than those before the implementation at the level .01. The developed curriculum was evaluated by the students at medium level of its feasibility.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.331
Teacher spread0.310 · 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 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

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Education and LearningSame topicWriting and Handwriting EducationFrench-language works237,207