PENGEMBANGAN PERANGKAT PENILAIAN BERBASIS KELAS UNTUK PEMBELAJARAN KIMIA SEKOLAH MENENGAH ATAS POKOK BAHASAN STOIKIOMETRI
Bibliographic record
Abstract
One of the causes that classroom-based assessment has not been applied in Senior High School nowadays because most of chemistry teachers have difficulties to develop the desired assessment as needed at the educational unit level curriculum. To solve this problem, a research was done to develop classroom-based assessment tool that is valid, practical, and effective for chemistry learning material in stoichiometry on Senior High School. The research method used was a development research. Research activities were conducted three years consisting of three stages, namely front-back analysis,prototyping, and implementation. Date were collected throught classroom observations, interviews with students, teachers, chemistry education expert,student work analysis, and achievement test. The result of first year showed that classroom-based assessment tool developed showed the validity criteria in term of its content and construction. The implementation conducted in the second year in SMAN 1 Pekanbaru, SMA Babussalam, and SMAN 2 Siak Hulu. The implementation result also showed the practical criteria, meaning that students and teachers can use it without significant constaint.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".