Developing a Learning Outcome-Based Question Examination Paper Tool for Universiti Putra Malaysia
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
<p class="apa">Much attention is now given on producing quality graduates. Therefore, outcome-based education (OBE) in teaching and learning is now being implemented in Malaysia at all levels of education especially at higher education institutions. For implementing OBE, the design of curriculum and courses should be based on specified outcomes. Thus, the challenge for the assessment is that it should be capable of measuring whether intended outcomes have been achieved or not. Likely, by assisting lecturer in preparing examination paper that aligns with the specified outcomes is something that can help to ensure the implementation of OBE. Hence, this paper describes the development of a tool for generating question examination paper based on learning outcomes, called Learning Outcome-based Question Examination paper Tool (LoQET). LoQET is proposed for assisting lecturer in Universiti Putra Malaysia for preparing examination paper based on programme outcomes and learning outcomes set in the teaching plan and assessment entries.</p>
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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) | 0.000 | 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