The Development of Thematic Mathematics Book Based on Environment with a Realistic Approach to Implant the Attitude of Caring about Environment at Students of Elementary School Grade One in Kupang
Bibliographic record
Abstract
The backdrop of this research is among others (1) the content of article 8 legislation national education system 20/2003 that the society takes the participation in planning and evaluating education, (2) the criterion of curriculum 2013 that is integrated and has a theme of natural environment, (3) the reality in the field showing that mathematics is not too meaningful, (4) do not use the school environment yet in outdoor learning so that can implant the attitude of caring about the envoronment. Based on the backdrop, the problem statement of this research is: how to develop thematic mathematics book based on environment with a realistic approach to implant the attitude of caring about the environment at the students of elementary school grade one in Kupang as early as possible? The method used is Research and Development with a type of Formative Research introduced by Tessmer in 1993. There are three steps in this research among others (1) the step of getting early data by using survey method analysed descriptively, (2) the step of developing the thematic mathematics books validated by the expert of education and mathematics (3) experiment step that is analysed with an inferensial statistic by using dependent t correlation analysis to know the difference of the student’s mathematics knowledge before and after using the learning tool developed and to implant the attitude of caring about the environment at the students. The school used as the limited class test or small class test toward the product developed is Directive Primary School Naimata Kupang, meanwhile for the big class test is Catholic Primary School St. Arnoldus Kupang. The basic reason to choose both of the schools is the minimum of reference books used by the teachers at grade one at the schools, and they do not use the large area of the schools field as a medium in learning. The result of the research based on the problem statement showing that almost all the students is very active and have a positive response. The attitude of caring about the environment begin to appear after using the thematic mathematics book developed, as a guide book for the teachers and the practice book for the students. Besides, the students’ understanding toward the number basic concept, the number operations and the two dimension also increase and the misconception doesn’t occur.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".