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Lezhnina, Olga; Kismihók, Gábor – International Journal of Research & Method in Education, 2022
In our age of big data and growing computational power, versatility in data analysis is important. This study presents a flexible way to combine statistics and machine learning for data analysis of a large-scale educational survey. The authors used statistical and machine learning methods to explore German students' attitudes towards information…
Descriptors: Student Attitudes, Scientific Literacy, Numeracy, Foreign Countries
Sun, Koun-Tem; Lin, Ching-Ling; Wang, Sheng-Min – International Journal of Science and Mathematics Education, 2010
The relative positions of the sun, moon, and earth, their movements, and their relationships are abstract and difficult to understand astronomical concepts in elementary school science. This study proposes a three-dimensional (3-D) virtual reality (VR) model named the "Sun and Moon System." This e-learning resource was designed by…
Descriptors: Foreign Countries, Electronic Learning, Elementary School Science, Computer Simulation
Lin, Janet Mei-Chuen; Yang, Mei-Ching – Journal of Computers in Mathematics and Science Teaching, 2009
In this study half of 52 sixth graders learned to program in MSWLogo and the other half in Drape. An analysis of students' test scores revealed that Drape (an iconic language) seemed to have a steeper learning curve than MSWLogo (a textual language). However, as students gradually became more familiar with either language, the difference in…
Descriptors: Elementary School Students, Programming Languages, Science Achievement, Instructional Effectiveness