Investigation of Middle School Students' Attitudes Towards Mathematics and Their Mathematical Competence
Bibliographic record
Abstract
An examination of middle school students’ attitudes towards mathematics and their mathematical competence is the central goal of this study. The sample is comprised of 998 5th, 6th, 7th and 8th grade students from middle schools in the Fethiye district of Muğla province in the 2021-2022 academic year. The attitudes of the middle school students towards mathematics showed significant differences in the “anxiety” sub-dimension and the “study” sub-dimension depending on the gender variable. The mean “anxiety” score of the male students was found to be significantly higher than that of the female students. The mean “study” score of the female students was found to be significantly higher than that of the male students. While the attitudes of the middle school students towards mathematics were found to vary significantly depending on the grade level variable in favour of the lower grades, it was determined that there was no significant difference between the attitudes of students depending of the variable of whether taking mathematics-related courses outside the school. While the mathematical competence of the middle school students was found to not vary significantly depending on the gender variable, it was found to vary significantly depending on the grade level variable in favour of the lower grades. The mathematical competence mean scores of the students were found to vary significantly depending on the variable of whether taking mathematics-related courses outside the school in favour of the students taking mathematics-related courses outside the school.
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.
How this classification was reachedexpand
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 | 0.004 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".