Self-Efficacy, Adversity Quotient, and Students’ Achievement in Mathematics
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
Indonesian students’ achievement in mathematics is generally still low compared with other countries. Many psychological factors, both internal and external, influence this poor performance. This study aimed to measure the effect of self-efficacy and the adversity quotient of Grade IX students regarding achievement in mathematics. Both of these internal variables have been selected because students’ success in mathematics is determined more by internal factors than by external factors. A survey method was used. The sample included 140 students and was drawn using a probability sampling technique. A self-efficacy scale and an adversity quotient scale were used to collect the data. Students’ mathematics achievement was determined based on school test results. The data were analyzed using multiple regressions. The findings reveal significant effects of self-efficacy and the adversity quotient but no significant effects of gender on students’ academic mathematics achievement. Therefore, an implication of the study is that we must investigate how to improve students’ self-efficacy and adversity quotient in mathematics. The results may be of interest to other developing countries, especially those in Southeast Asia that share similar concerns with Indonesia regarding students’ mathematics achievement.
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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 | 0.002 |
| 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 | 0.001 | 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