The importance of self-regulated learning (SRL) has increased during the COVID-19 pandemic and measures for assessing students’ self-regulation skills and knowledge are greatly needed. We present the results of the first thorough adaptation of the Children’s Perceived use of Self-Regulated Learning Inventory (CP-SRLI). The inventory, consisting of 15 scales measuring nine components of SRL, was administered to a sample of 541 Slovenian ninth graders. Confirmatory factor analyses supported internal structure validity of most components, but two components required some structural modifications. Internal consistency coefficients were acceptable for the majority of scale scores and were highly comparable to the original ones. While metric invariance across gender was confirmed, the scalar invariance of some scales needs further examination. Meaningful correlations with relevant externally assessed and self-reported self-regulation and school performance variables indicated good criterion validity of the inventory. The Slovenian version of the CP-SRLI thus proved to be a sufficiently valid and reliable instrument for assessing pupils’ learning self-regulation.
Depth perception in volumetric visualization plays a crucial role in the understanding and interpretation of volumetric data. Numerous visualization techniques, many of which rely on physically based optical effects, promise to improve depth perception but often do so without considering camera movement or the content of the volume. As a result, the findings from previous studies may not be directly applicable to crowded volumes, where a large number of contained structures disrupts spatial perception. Crowded volumes therefore require special analysis and visualization tools with sparsification capabilities. Interactivity is an integral part of visualizing and exploring crowded spaces, but has received little attention in previous studies. To address this gap, we conducted a study to assess the impact of different rendering techniques on depth perception in crowded volumes, with a particular focus on the effects of camera movement. The results show that depth perception considering camera motion depends much more on the content of the volume than on the chosen visualization technique. Furthermore, we found that traditional rendering techniques, which have often performed poorly in previous studies, showed comparable performance to physically based methods in our study.
V clanku obravnavamo neposredno upodabljanje volumnov, ki vsebujejo številne podobne primerke struktur, kot so slike polikristalnih materialov, z vlakni ojacenih polimerov in znotrajceličnih struktur. V teh primerih je gostota primerkov tako velika, da obstojece metode za upodabljanje ne omogočajo dobrega vpogleda v notranjost volumnov zaradi kolicine zastiranja med primerki. Predstavljamo novo metodo za upravljanje vidnosti pri vizualizaciji tovrstnih podatkov, ki nam omogoca skrivanje posameznih primerkov, poudarjanje primerkov z dolocenimi lastnostmi, red ˇ cenje primerkov in zlivanje segmentacije s surovimi podatki. Metodo smo preizkusili na sliki z vlakni ojacenega polimera, kjer omogoča boljši pregled notranjosti volumna.
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