A Rasch Analysis on Total Learning Experience of UKM Engineering 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
Learning experience has always been influenced by not only the academic materials presented to students, but also others factors within the surroundings of the students. Assessment is conducted to monitor the students’ total learning experience (TLE) throughout their academic tenure-ship at the higher learning institution. UKM has taken the initiative to assess their students’ TLE annually. The findings then serve as their benchmark on the enhancement of the facilities provided and the progression of the students’ characteristics. UKM prepared a comprehensive TLE assessment on the infrastructure provided, the soft skill development and on personality traits. This paper discusses the findings on UKM’s engineering students’ TLE in relation to the infrastructure provided by UKM. The students perceived that they learned more from their industrial training provided with mean measured at -1.10 logit. Where else, the least contributing factor towards the students’ learning experience is the college facilities with mean measured at +0.50 logit.
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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) | 0.002 | 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