MENGINTEGRASIKAN TEKNOLOGI INFORMASI DAN KOMUNIKASI (TIK) KE DALAM PROSES PEMBELAJARAN: Apa, Mengapa dan Bagaimana?
Bibliographic record
Abstract
Hidup dalam era informasi di abad 21 ini merupakan kenyataan. Teknologi informasi dan komunikasi (TIK) telah menjadi bagian yang tidak terpisahkan dari kehidupan era global saat ini. Untuk mendorong kesiapan SDM di era global melalui pendidikan di sekolah, pengintegrasian TIK ke dalam proses pembelajaran perlu dilakukan untuk 1) mengembangkan kemampuan berpikir tingkat tinggi siswa; 2) mengembangkan keterampilan dalam bidang teknologi informasi dan komunikasi (ICT literacy) itu sendiri; dan 3) untuk meningkatkan efektifitas, efisiensi dan kemenarikan proses pembelajaran. Dalam prakteknya, belum semua guru memahami apa yang dimaksud dengan mengintegrasikan TIK ke dalam proses pembelajaran. Makalah ini memaparkan tentang apa, mengapa dan bagaimana integrasi TIK dilakukan dalam proses pembelajaran di sekolah
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".