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Supervisi Klinis Untuk Meningkatkan Kemampuan Literasi Digital Guru SMK Negeri Maniis Purwakarta

2019· article· id· W2975176358 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

VenueSyntax Literate Jurnal Ilmiah Indonesia · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Communication Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsComputer scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Kegiatan pembelajaran di sekolah pada saat ini harus mulai menyesuaikan dengan tuntutan era 4.0. Penyesuaian tersebut diantaranya mengimplementasikan kemampuan literasi digital. Tujuannya membuat pembelajaran menjadi lebih menarik minat belajar siswa. Penelitian ini bertujuan untuk: (1) meningkatkan kemampuan guru dalam membuat soal menggunakan aplikasi kahoot dan (2) meningkatkan kemampuan siswa dalam mengerjakan soal yang dibuat guru dengan mengakses soal tersebut melalui browser web menggunakan smartphonenya (android). Metode penelitian yang digunakan adalah penelitian tindakan sekolah, yaitu melaksanakan pembinaan bagi sekelompok guru di suatu sekolah, melalui beberapa siklus, mengunakan sistem spiral refleksi model Kemmis dan Mc Taggart yang dimodifikasi. Strategi/Metode/Teknik Pembinaan yang digunakan pada siklus I dan siklus II adalah model supervisi klinis. Hasil penelitian menunjukkan bahwa setelah dilaksanakan supervisi menggunakan model supervisi klinis, kemampuan guru dalam membuat soal kemudian di share ke seluruh siswa menggunakan aplikasi kahoot menunjukkan adanya peningkatan, dari siklus I ke siklus II. Siklus II mengakhiri pembinaan, dengan indikator skor guru minimal 80.00 sudah diatas 85%. Kata kunci: Supervisi akademik, kemampuan, Literasi digital

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), Science and technology studies, Scholarly communication, 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 score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.006

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 head0.296
Teacher spread0.275 · 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