Motivating Students – Undergraduates’ Expectations From The Educational Process And Perceptions Of Career Success
Bibliographic record
Abstract
Motivation in the educational process is crucial, yet it assumes a series of challenges, especially in the first year of study. In order to improve the Management course we deliver in the first semester of the academic year, we applied a short questionnaire in the first seminar to our first-year students from the Bucharest University of Economic Studies, Faculty of Finance, Insurance, Banking and Stock Exchange – FABBV, at the very beginning of their first year of study. The questionnaire consisted in 16 questions, out of which a quarter were open questions. There were 294 respondents (13 groups of students), who had the opportunity to present their views with respect to their preferences for projects as a teaching and learning method, the main skills they need to develop during university years, and a series of aspects related to their career choice. This paper aims to present first-year students’ expectations from the educational process, as well as their perceptions of career success, as resulted from their responses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".