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1.
Prepoznavanje in razumevanje barv pri 3-letnih otrocih : diplomska naloga
Špela Jalšovec, 2026, undergraduate thesis

Keywords: barve, zgodnje otroštvo, triletni otroci, zaznavanje, učenje, govor
Published in RUP: 10.07.2026; Views: 44; Downloads: 1
.pdf Full text (446,13 KB)

2.
Razvrščanje : diplomska naloga
Jasmina Mislej, 2026, undergraduate thesis

Keywords: predšolsko obdobje, razvrščanje, drevesni prikaz, Carrollov prikaz, otroci
Published in RUP: 08.06.2026; Views: 255; Downloads: 28
.pdf Full text (1,19 MB)

3.
Uporaba Euler-Vennovega prikaza v drugem starostnem obdobju : diplomska naloga
Nika Šantelj, 2026, undergraduate thesis

Keywords: otroci, predšolska matematika, razvoj, razvrščanje, Euler-Vennov prikaz
Published in RUP: 08.06.2026; Views: 205; Downloads: 19
.pdf Full text (950,52 KB)

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Otroci in števila v vrtcu : diplomska naloga
Urška Germ, 2026, undergraduate thesis

Keywords: matematika v vrtcu, števila, štetje, strategije štetja, otroci, igra
Published in RUP: 01.06.2026; Views: 269; Downloads: 21
.pdf Full text (434,82 KB)

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Uspešnost nadaljevanja matematičnih vzorcev skozi igro : diplomska naloga
Maša Cerar, 2025, undergraduate thesis

Keywords: matematika, vzorci, igra, razvrščanje, drugo starostno obdobje
Published in RUP: 03.02.2026; Views: 503; Downloads: 31
.pdf Full text (1,99 MB)

9.
Predicting Italian students’ mathematics outcomes : a decision tree regression analysis
Daniel Doz, Darjo Felda, Mara Cotič, 2025, original scientific article

Abstract: The present paper aims to investigate the factors that influence the achievements of Italian students on the National Mathematics Assessment INVALSI. The study is a quantitative non-experimental research and utilizes the Decision Tree Method (DTM), a data mining and machine learning approach, to analyze the relationships and interactions among the variables and their influence on students’ mathematics performance. The sample for the study consists of 15,344 grade-10 students who took the INVALSI test in the school year 2021/22. Findings show that school typology had the highest relative importance, followed by students’ school grades in mathematics, socioeconomic status, geographic macroregion, gender, age, and, finally, origin. Based on these results, policymakers and educators should prioritize interventions that enhance educational environments and individual academic proficiency, particularly focusing on school type, mathematics grades, and students’ ESCS, to improve student achievements and promote deeper learning.
Keywords: INVALSI, decision tree, cross-validation, mathematics
Published in RUP: 19.01.2026; Views: 628; Downloads: 12
.pdf Full text (1,12 MB)
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10.
Sposobnost razvrščanja v prvem starostnem obdobju : diplomska naloga
Eli Pogačnik, 2025, undergraduate thesis

Keywords: matematika, prvo starostno obdobje, razvrščanje, drevesni prikaz, Carrollov prikaz
Published in RUP: 24.10.2025; Views: 1048; Downloads: 41
.pdf Full text (1,66 MB)

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