0000000000187505

AUTHOR

Gregor Stiglic

showing 2 related works from this author

Data from an international multi-centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Datas…

2023

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across differ…

educationminäpystyvyysStatistics; mathematics; anxiety education; jangle fallacy;Polymers and Plasticsjangle fallacymatematiikkaopiskelijatoppiminenmathematicsStatisticsSettore M-PSI/03 - Psicometriaanxietykansainvälinen vertailupsykometriikkastatisticstilastotiedekorkeakouluopiskeluahdistustutkimusaineistoGeneral Environmental Science
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Using Cellular Automata for feature construction - preliminary study

2007

When first faced with a learning task, it is often not clear what a good representation of the training data should look like. We are often forced to create some set of features that appear plausible, without any strong confidence that they will yield superior learning. Beside, we often do not have any prior knowledge of what learning method is the best to apply, and thus often try multiple methods in an attempt to find the one that performs best. This paper describes a new method and its preliminary study for constructing features based on cellular automata (CA). Our approach uses self-organisation ability of cellular automata by constructing features being most efficient for making predic…

Orientation (computer vision)Computer sciencebusiness.industryGenetic programmingMachine learningcomputer.software_genreCellular automatonSet (abstract data type)Genetic algorithmBenchmark (computing)Feature (machine learning)Artificial intelligenceRepresentation (mathematics)businesscomputer2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference
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