Scratch kot orodje za utrjevanje matematičnih vsebin in razvoj algoritmičnega razmišljanja v 4. razredu
Bibliographic record
Abstract
Prispevek obravnava, kako lahko uporaba programskega jezika Scratch pri pouku matematike prispeva k razvoju algoritmičnega razmišljanja in hkrati utrjevanju matematičnih vsebin pri učencih 4. razreda. Naš cilj je opisati način dela v razredu, kjer so učenci s pomočjo Scratcha ustvarili matematični kviz za utrjevanje zaokroževanja števil ter pisnega seštevanja in odštevanja do 10 000. S preizkušanjem kvizov so utrjevali znanje, si izmenjevali povratne informacije ter na podlagi tega izboljšali svoje izdelke. Uspešnost dejavnosti smo pridobivali z metodo študije primera, kjer smo zbirali podatke z opazovanjem, spraševanjem in analizo učenčevih izdelkov. Ključne ugotovitve so pokazale, da so učenci z veseljem ustvarjali kvize, razvijali tako matematična kot računalniška znanja ter aktivno medvrstniško sodelovali pri izboljševanju svojih izdelkov. Vsi učenci so bili motivirani, kar je nakazovalo na pozitiven učinek vključevanja programiranja v pouk. V prihodnosti bi bila potrebna dodatna podpora pri vključevanju animacij ter možnost daljšega časa za izvedbo nalog.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".