Interest, motivation and attitude towards science and technology at K-12 levels: a systematic review of 12 years of educational research
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
The relationship that exists between students and science and technology (S&T) is a complex and important one. If it is positive, then social, economic and environmental consequences are to be expected. Yet, many problems of interest/motivation/attitude (I/M/A) towards S&T have been recorded. A lot of research has been conducted on this topic and a certain number of syntheses have been proposed, but very few of them have followed sufficiently systematic procedures. In this article, we offer a synthetic and systematic description of 228 research articles that were published between 2000 and 2012 and indexed in the ERIC database under I/M/A for S&T at K-12 levels. We focus on the origin of these articles, on the constructs they use and define, on the instruments, and finally on the results they provide, whether correlative or causal. Conclusions and recommendations for future research and interventions are formulated.
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 | 0.022 | 0.096 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.019 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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