Pemanfaatan Platform Google Classroom Dalam Meningkatkan Pemahaman Materi Pembelajaran Serta Hasil Belajar Peserta Didik Di Masa Pandemi
Bibliographic record
Abstract
AbstrakPada abad 21 terus akan menghadapi perubahan-perubahan cepat di dunia pendidikan akibat perkembangan teknologi. Pandemi memberikan pengaruh yang luar biasa terhadap aspek kehidupan termasuk bidang Pendidikan salah satunya perubahan pada paradigma Pendidikan yang harus mengintegrasikan dari pembelajaran konvensional ke dalam pembelajaran teknologi. Salah Platform yang bisa digunakan dan banyak digunakan oleh guru dalam pembelajaran adalah platform Google Clasroom. Di dalam penelitian ini metode yang digunakan adalah berupa metode deskriptif, yaitu metode analisis yang mendeskripsikan atau menjelaskan peristiwa dan kejadian yang terjadi pada saat penelitian. Di dukung dengan Teknik pengumpulan data yang di peroleh hasil dari data berupa kuesioner atau angket, survey dan wawancara. Berdasarkan hasil penilitian menyatakan bahwa pemanfaatan Plafform Google Classroom dalam pembelajaran daring di masa pandemi memiliki tingkat keefektifan yang baik dilihat dari aspek partisipasi siswa, pemahaman dan hasil belajarKata Kunci : Pemahaman, Platform Google Classroom
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.048 | 0.026 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".