Motivation and Attitude of Students on Physics Subject in the Middle School in Indonesia
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
Purpose: This study aims to determine whether there is a relationship between motivation and attitudes of students towards physics subjects in high school. Method: The type of research used is quantitative descriptive with correlational design. The data used by researchers were in the form of questionnaires/motivational questionnaires and attitudes with a total of 54 statements for attitude questionnaires and 23 statements for motivational questionnaires using liker scale 5. Data Analysis: using descriptive and inferential statistics. Findings: the results of this study researchers get good results and enough attitudes towards physics investigation, adoption of scientific attitudes pleasure in learning physics, interested in participating in physics learning activities, believe that he has the ability of physics, and enjoy working on physics tasks good enough, this is in accordance with the analysis of the relationship that has been done, that there is a relationship between motivation and student attitudes toward physics subjects, with details, at level 1 the correlation coefficient is 0.318, then at level 2 is 0.862 and at level 3 is -0.56, at level 1 has a low positive relationship, level 2 has a strong positive relationship, while at level 3 has a moderate negative relationship.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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