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Record W4402410398 · doi:10.20961/shes.v7i3.91536

Implementasi Digitalisasi Sekolah dalam Meningkatkan Kualitas Pembelajaran di SD Negeri Bulusari 01 Gandrungmangu

2024· article· id· W4402410398 on OpenAlexaff
Almaskur Almaskur, Lestari Lestari, Dwi Sukaningsih, Istama Istama, Nur Ngazizah

Bibliographic record

VenueSocial Humanities and Educational Studies (SHEs) Conference Series · 2024
Typearticle
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychologyMathematics education

Abstract

fetched live from OpenAlex

<p>Penelitian ini bertujuan mengetahui implementasi, hasil dan kendala digitalisasi sekolah dalam meningkatkan kualitas pembelajaran di SD Negeri Bulusari 01 Gandrungmangu. Digitalisasi sekolah mencakup penerapan teknologi informasi dan komunikasi dalam proses pembelajaran, termasuk penggunaan perangkat keras dan lunak. Metodologi dalam penelitian ini adalah deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa digitalisasi sekolah telah memberikan hal positif terhadap kualitas pembelajaran, seperti peningkatan motivasi belajar siswa, kemudahan akses materi pembelajaran, dan peningkatan keterampilan baik siswa maupun guru. Penelitian ini juga mengidentifikasi beberapa kendala, antara lain keterbatasan infrastruktur teknologi, kurangnya pelatihan bagi guru, dan keterbatasan akses internet bagi sebagian siswa. Sekolah diharapkan dapat meningkatkan infrastruktur, pelatihan berkelanjutan bagi guru, dan siswa memiliki akses yang memadai terhadap teknologi dan internet. Implementasi digitalisasi yang efektif diharapkan dapat meningkatkan kualitas pembelajaran di SD Negeri Bulusari 01 Gandrungmangu.</p>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.146
GPT teacher head0.388
Teacher spread0.242 · 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
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
Published2024
Admission routes1
Has abstractyes

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