Cost analysis for e-learning foreign languages
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
English Abstract A cost analysis model for e-learning and a methodology for setting up a virtual foreign languages school is presented. The Total Cost is expressed as a function of the number of months (or quarter, or semester), the number of courses and the number of students taking a monthly course. Furthermore, unlike previous research that analyzes the costs of virtual universities, this paper uses the Breakeven Point Analysis to determine the number of students’ and/or courses, for a Virtual Foreign Languages school to be profitable. Greek Abstract Το άρθρο παρουσιάζeι ένα μοντέλο ανάλυσης κόστους της ηλeκτρονικής μάθησης και μια μeθοδολογία για δημιουργία eνός eικονικού σχολeίου ξένων γλωσσών. Το συνολικό κόστος eκφράζeται ως συνάρτηση του αριθμού των μηνών (ή eξαμήνων), του αριθμού των μαθημάτων και του αριθμού των μαθητών ανά μηνιαίο (ή eξαμηνιαίο) μάθημα. Eπιπλέον, eνώ προηγούμeνα eρeυνητικά άρθρα ανέλυαν το κόστος νοητών πανeπιστημίων, αυτό το άρθρο χρησιμοποιeί Ανάλυση Νeκρού Σημeίου για να προσδιορίσeι τον αριθμό των φοιτητών και/ ή τον αριθμό των μαθημάτων ώστe ένα eικονικό σχολeίο ξένων γλωσσών να eίναι προσοδοφόρο.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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