PENGEMBANGAN MODEL PERMAINAN ADVENTURE UNTUK MENINGKATKAN KINESTETIK ANAK USIA DINI
Bibliographic record
Abstract
Penelitian ini bertujuan untuk menghasilkan model permainan adventure untuk meningkatkan kinestetik anak usia dini. Dalam penelitian pengembangan ini, langkah-langkah yang harus ditempuh meliputi: (1) studi pendahuluan, (2) perencanaan, (3) mengembangkan produk awal, (4) ujicoba awal, (5) revisi untuk menyusun produk utama, (6) uji coba lapangan utama, (7) revisi untuk menyusun produk operasional, (8) uji coba produk operasional, (9) revisi produk final, dan (10) diseminasi dan implementasi produk. Hasil akhir dari penelitian ini adalah sebuah produk berupa model permainan adventure untuk meningkatkan kemampuan kinestetik anak usia dini. Model permainan adventure untuk meningkatkan kemampuan kinestetik anak usia dini dikemas kedalam sebuah buku manual dan didampingi dengan Digital Versatile Disc (DVD). Pada akhir tahap penelitian dapat ditarik kesimpulan bahwa model permainan adventure untuk meningkatkan kemampuan kinestetik anak usia dini sangat baik dan efektif. Sehingga model permainan layak digunakan.Kata Kunci: Pengembangan, model, adventure, kinestetik, anak usia dini (4-6 Tahun) THE DEVELOPMENT OF A MODEL OF ADVENTURE GAME TO IMPROVE CHILDREN’S KINESTETIC IN EARLY AGEAbstractThis study aims to produce a model of Adventure games to improve children’s kinestetic in early age. In this developmental research, the steps that must be followedare: (1) Introduction study, (2) Planning, (3) Improving the first pruduct, (4) The first trial, (5) Revision for arranging the main product, (6) The trial of the main field, (7) Revisionof oprational product, (8) The trial of operational product, (9) Revision of final product, and (10) The dissemination and the implementation of product. The final result of this research a product like adventure games model to improve kinestetic ability children in early age. Adventure games model to improve kinestetic ability of children in early age is cased up in a manual book and accompanied with Digital Versatile disc (DVD). In the last step of the research, it can be concluded that adventure games model to improve kinestetic ability of early age childeren has very good and effective, so that ready tu use.Keywords: Improvement, model, adventure, kinestetic, earlyage childeren (4-6 years old)
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.047 | 0.010 |
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".