KETERCAPAIAN DAN KEMAMPUAN PEMBELAJARAN DARING DI SMA NEGERI 1 GAPURA SUMENEP PADA SAAT MASA PANDEMI COVID-1
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengeksplorasi tingkat ketercapaian dan kemampuan pembelajaran daring serta partisipasi aktif mahasiswa STKIP PGRI Sumenep di wilayah Sumenep selama pandemi Covid-19. Metode yang digunakan adalah penelitian deskriptif kuantitatif, di mana angket disebarkan kepada mahasiswa STKIP PGRI Sumenep pada masa pandemi Covid-19. Data yang terkumpul kemudian dianalisis untuk mengukur persentase partisipasi aktif mahasiswa dalam belajar daring menggunakan berbagai aplikasi serta untuk mengidentifikasi hambatan-hambatan dalam pembelajaran online. Hasil survei menunjukkan bahwa sekitar 83,6% responden mengalami kesulitan akses internet saat mengikuti perkuliahan via Zoom dan Moodle, sementara belajar melalui WA Group memungkinkan partisipasi aktif dari 100% mahasiswa. Kendala utama dalam pembelajaran daring yang dihadapi oleh mahasiswa adalah masalah sinyal internet yang tidak stabil di tempat tinggal mereka.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".