Motivation and Performance of First-year 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
Adjusting to academic life and managing to perform well at university is challenging for any first-year student. One of the keys to study success is motivation. In line with the social cognitive approach, two motivational constructs are considered: self-efficacy and attribution. Previous studies predominantly took a ‘snapshot’ of first year students' motivation, thereby ignoring the fact that students re-evaluate their self-efficacy as they experience success and failure over time. It is believed that a better understanding of such changes might inform targeted interventions. This case study investigated the development of self-efficacy beliefs and attribution among first-year students in an Economics undergraduate program. One hundred and four students completed three questionnaires at the start of their first academic year, two months later and after they received the results of their first semester exams. Repeated multivariate tests were conducted in order to analyse significant differences in self-efficacy and attribution scores over time. The results suggest that unsuccessful students hold unrealistic self-efficacy beliefs about courses that are new to them. Furthermore, attributions were dependent on the course involved and on students’ exam results. As a consequence, it is suggested to organize early detection and to provide feedback in order to render these beliefs more truthful.
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 | 0.000 | 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 | 0.000 | 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