PROBLEM BASED LEARNING (PBL) BERBASIS ETNOSAINS DAN ETNOMATEMATIK
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper aims to see how PBL is integrated with ethnoscience and ethnomamatics. PBL as a contextual model of students often does not find a new direction in approach. This research introduces a new direction of PBL learning schemes through ethnoscience and ethnomamatics. Descriptive qualitative research of Cronin et al., (2008), namely (1) choosing a review topic, (2) finding and selecting appropriate articles, (3) analyzing and synthesizing literature, and 4) conducting a review of writing in a Mix with the development of Thiagarajan's definition. , design, development and dissemination. The results of this study (a) Ethnoscience-based PBL has three conceptual steps (1) A new conceptual framework that is a synergy between ethnoscience and PBL to improve contextuality and meaning in science learning, (2) Steps for developing ethnoscience-based learning, and 3) steps to integrate ethnoscience into PBL and how to apply it in science learning. (b) A PBL-based ethnomathematics approach may improve understanding of mathematics. The integration of teacher performance, student activities, and infrastructure utilization can improve understanding of mathematics based on ethnomathematics designed with a Four-D model (research design) which consists of (1) defining, (2) designing, (3) developing, and (4) spreading.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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 it