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Record W3022622034 · doi:10.26740/jdmp.v4n2.p113-121

Supervisi Akademik Meningkatkan Kompetensi Pedagogik Guru

2020· article· en· W3022622034 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJDMP (Jurnal Dinamika Manajemen Pendidikan) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSchool Leadership and Teacher Performance
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsDocumentationAction researchCompetence (human resources)Data collectionMathematics educationPsychologyAcademic yearMedical educationPedagogyComputer scienceMathematicsMedicineSocial psychologyStatistics

Abstract

fetched live from OpenAlex

The condition of the teacher at SDN Kepanjen 2 shows far from ideal conditions. The results of preliminary surveys conducted by researchers in the execution of teachers ' duties, seven aspects of pedagogic competence teachers have not seen showing the skills of teachers in carrying out learning. Academic supervision is a selected action researcher to help teachers develop pedagogic skills of the teacher. This research is done cycle by cycle according to the concept of research action, planned there are 2 cycles with each cycle implemented measures planning, implementation, observation, reflection. Data collection techniques used in research using observations, interviews and documentation studies. The results of data analysis obtained exposure that proves that of the seven competencies that are targeted to research obtained an average value increase of 86%. So it can be concluded that the application of academic supervision can improve the pedagogic competence of teachers.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.133
GPT teacher head0.340
Teacher spread0.207 · 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