The Mediating Effect of Study Approaches between Perceptions of Mathematics and Experiences Using Digital Technologies
Why this work is in the frame
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Bibliographic record
Abstract
The learning process of constructing concepts in mathematics can be supported by visualization in graphical, numerical, and symbolic representations. However, previous research suggests that students have not fully taken advantage of the opportunities provided by these technologies. Two key factors, including mathematics conception and mathematics study approaches differentially used such technologies and consequently promote the quality of mathematics education. We hypothesized that these key factors play a key role in this shortcoming. A survey of 442 high school students from Iran was conducted to examine the hypotheses through structural equation modeling. Results confirmed that mathematics conception and mathematics study approaches were associated with students’ experiences and evaluations of using supportive digital technologies in mathematics learning. Moreover, mathematics study approaches mediated the relationship between mathematics conception and students’ experiences and evaluation of using these digital technologies. These findings explain how mathematics conception contributes to learning experiences when students use such digital technologies.
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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 | 0.001 |
| 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