2022
DOI: 10.5564/lavai.v18i27.2493
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Categorizing students into groups according to their learning attitudes based on cluster analysis

Abstract: Tests are frequently used in any field of science education to assess students’ knowledge and skills. In this paper, we briefly introduce the results of the analysis on the test data of twelve grade students in Mongolia. These analyses are based on two approaches- classical test theories and cluster analysis. It is less important to measure learners’ attitudes through only one subject. We believe that students’ attitudes towards learning academic subjects and acquiring scientific education can be defined throu… Show more

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