Efteruddannelse i CAS – erfaringer fra fire år med CMU
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
Anvendelse af matematisk software i gymnasieundervisningen har længe befundet sig i et skisma mellem matematikfaglig degeneration og progressive anvendelser. I artiklen skildres en efteruddannelsesmodel som eksplicit adresserer dilemmaet. Ud fra et aktionsforskningsgrundlag bygges på deltagende matematiklæreres engagement i at inddrage computere uden at ofre den matematiske kernefaglighed som gymnasieuddannelserne sigter mod. Vi redegør for det didaktiske fundament og en virksomhedsteoretisk forståelsesramme for modellens implementering af computere i matematikundervisningen. Vi illustrerer modellen gennem eksemplariske deltagerforløb som afdækker fundamentale vilkår, og som peger på at efteruddannelse og erfaringsdeling vedrørende brug af matematisk software vil være et påtrængende behov, også i fremtiden.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.008 |
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