Deskripsi Pemahaman Konsep Siswa dalam Menyelesaikan Soal PISA pada Konten Space and Shape
Bibliographic record
Abstract
AbstrakPemahaman konsep merupakan salah satu komponen penting yang harus dimiliki siswa di sekolah. Pemahaman konsep tersebut dapat diaplikasikan dalam menyelesaikan soal, terlebih pada soal non-rutin yang dapat diambil dari soal PISA. Kenyataannya siswa Indonesia tergolong rendah dalam menyelesaikan soal PISA. Salah satu cara untuk mengetahui rendahnya siswa dalam menyelesaikan soal yakni dengan mengujikan pemahaman konsep yang dimilikinya. Penelitian kualitatif ini bertujuan untuk mendeskripsikan pemahaman konsep siswa dalam menyelesaikan soal PISA pada konten space and shape. Subjek penelitian adalah 3 siswa kelas X MIPA 5 SMA Negeri 1 Ambarawa Tahun Ajaran 2017/2018 dengan pertimbangan usia 15 Tahun dan berkemampuan tinggi (LHK), sedang (ATN) dan rendah (DSS). Teknik pengumpulan data dalam penelitian ini menggunakan teknik tes, wawancara dan dokumentasi. Hasil tes dan wawancara menunjukkan bahwa: (1) Ketiga subjek memenuhi semua indikator pemahaman konsep ketika menyelesaikan soal PISA pada konten space and shape yang menggunakan komponen proses employ, konteks scientific serta komponen proses formulate, konteks personal. (2) Ketika menyelesaikan soal PISA pada konten space and shape yang menggunakan komponen proses formulate dan konteks scientific subjek ATN dan DSS tidak memenuhi indikator pemahaman konsep yang mengaplikasikan konsep atau algoritma pada pemecahan masalah. Description of Students’ Concept Understanding in Solving PISA Question on Space and ShapeAbstractConceptual understanding is an important component for students in school. It can be applied in solving problems, especially for non-routine questions from the PISA problems. The truth, Indonesian students belong to lower level in solving PISA problems. One way to find out the low level of students’ problems solving is by testing their conceptual understanding. This qualitative research aims to describe students' conceptual understanding in solving PISA problems on space and shape content. Subjects in this research were three students of class X MIPA 5 SMA Negeri 1 Ambarawa on academic year 2017/2018 by consideration of 15 years old with high (LHK), middle (ATN) and low (DSS) mathematical capabilities. Data collection techniques in this research use test, interviews and documentation. Test results and interviews show that: (1) The three subjects can achieve all indicators of conceptual understanding when solving PISA problems on space and shape content with “employ” process and “scientific” context along with “formulate” process and “personal” context. (2) Subjects ATN and DSS can’t achieve the conceptual understanding indicators when solving the PISA problems on space and shape content that uses “formulate” process and “scientific” context which apply concept or algorithms of problem solving.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.051 | 0.015 |
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".