Student's Interest in Science and Technology and its Relationships with Teaching Methods, Family Context and Self-Efficacy
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
In order to explore students’ interest towards ST however, few of them perceive the utility of school-ST b) in terms of school subjects, perceived importance and preference order, ST the preference order is not, however, similar to the perceived importance order. The latter, and therefore the role of ST c) the analysis based on correlations and regressions propose some important predictors of general interest towards S&T. The results highlight, among other things, the importance for school to intervene on certain factors that promote the development of students’ interest in S&T. For instance, 1) to affirm the importance of S&T right from the beginning of elementary school, 2) to use teaching methods that allow students to establish links between what they learn in school and their lives, as well as methods centered on students’ development of inquiry processes, 3) to promote cultural activities related to S&T, and 4) to promote a positive development of self-concept through quality schooling.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| 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