Exploring the Student Engagement Instrument and Career Perceptions with College Students
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 Student Engagement Instrument (SEI) is a relatively new inventory designed to measure cognitive andaffective engagement in school for middle and high school students. We explored the reliability and validity ofthe SEI for 122 college students. Results provided evidence for adequate to good reliability andvalidity--indicating a good fit between the data and a 4-factor structure based on Teacher-Student Relationships,Peer Support at School, Future Aspirations and Goals, and Family Support for Learning. Two factorsrepresenting affective engagement (Peer Support at School and Teacher-Student Relationships) emerged asimportant predictors of career perceptions in our college student sample. Peer Support at School also predictedcollege GPA. Facilitating continuity in the operationalization and measurement of student engagement acrosssecondary and post-secondary settings, findings also highlight the potential importance of student engagement tocareer development.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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