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Record W2579711865

MANAJEMEN PENINGKATAN KOMPETENSI DOSEN DI UNIVERSITAS JABAL GHAFUR-SIGLI

2014· other· id· W2579711865 on OpenAlexaff
D. Uma Devi

Bibliographic record

VenueElectronic theses and dissertations (Syiah Kuala University) · 2014
Typeother
Languageid
FieldSocial Sciences
TopicSchool Leadership and Teacher Performance
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

The increasing of lecturer competency is one of the efforts made to increase the quality of the lecturers in Jabal Ghafur University of Sigli.The purpose of this study was to find out what the planning programs, the implementation, and the supervision of human resources improvement program.The source persons of this study were the rector, the vice deans, the lecturers from various study programs, the staffs of Research and Community Development Service, and the staffs of Quality Assurance Agency.This study was a qualitative descriptive study.The results of this study showed that the proses of planning programs of lecturer competency improvement included the teaching ability improvement, the research activity, the provision of journal publication media, the ease of access to the information needs of education, and the development of technology-based teaching.The implementation of the programs that has been carried out were the teaching ability improvement by developing and adopting new teaching methods, the research activity programs and its implementation through community service activity, and trainings, seminars, workshops, and short courses.The establishment of postgraduate dan doctorate degree program was also in process.The effort to establish cooperation with other more advanced universities has always been improved both for local and international level.The supervision system of the planning and the implementation of the programs was carried out by Rector and Quality Assurance Agency by monitoring and evaluating the lecturers performance at the end of each semester.The monitoring and evaluation report was given to the rector to be followed up.Rector was sending the report to each dean and head of study program at faculty level and instructed them to guide the lecturers who have good performance.While for those who have poor performance, the dean was asked to not giving them courses for the next semester, instructed the lecturers of foundation to be actively implementing research and community services as a requirement to get salary and send them to seminars and workshops activity.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.927
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.231
Teacher spread0.219 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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