engleski

Classification Trees in Detecting Students’ Motivation for Maths From Their Ict and Facebook Use

Previous research shows that students’ motivation for math is an important factor of students’ active engagement in the learning process and the level of students’ achievement in mathematics courses. The purpose of this paper is to present the potential of classification trees in detecting students’ motivation for maths. In addition, the aim was to construct a classification tree model that will be effective in detecting students with a low level of motivation for maths. The classification tree model was established on students’ perception of their ICT and Facebook use. For determining the level of students’ motivation for maths Motivated Strategies for Learning Questionnaire (MSLQ) (Pintrich et al., 1991) scale was used, and the Facebook Intensity (FBI) scale (Ellison et al., 2007) was used for measuring students’ Facebook use. The students from the third year of the Faculty of Education in Osijek participated in this research. The results showed great potential of a classification tree model as means for detecting students’ motivation for maths.

classification tree, motivation for maths, ICT usage, Facebook usage, students’ attitude

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