An Answering System for Questions Asked by Students in an e-Learning Context
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
En aquest article presentem un sistema que ajuda els docents a respondre les preguntes dels seus alumnes en una universitat virtual, concretament la Universitat Oberta de Catalunya (UOC). La comunicació entre alumne i docent es fa d'una manera totalment virtual: les preguntes i les respostes es formulen i contesten per correu electrònic. El sistema, que es va desenvolupant a l'Àrea de Tecnologia Educativa de la UOC, té com a principal objectiu trobar contextos multilingües amb informació útil per a respondre a l'estudiant d'una manera ràpida i adequada. Els contextos s'extreuen dels materials del curs, els fòrums de participació de l'assignatura, articles i altres fonts d'informació disponibles a internet. A més d'ajudar els docents a trobar millors respostes, el sistema és útil per a actualitzar els seus coneixements i desenvolupar el seu aprenentatge permanent.
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 | 0.003 | 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 | 0.001 |
| 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