Students’ attitudes toward Mathematics: The case of Greek students
Abstract
The aim of present research paper is to evaluate Greek Students’ attitudes towards mathematics through multidimensional statistical analysis. A sample of 168 Greek students participated in the study. The study used an instrument named ATMI (Students’ attitudes towards learning Big Data, analytics and AI algorithms) that is a five-point Likert scale. The scale consisted of four conceptual constructs named Self-Confidence, Value, Enjoyment, Motivation. Greek Students’ attitudes toward Mathematics were evaluated by another item that rate from 1 to 100 scaling the total score. The results demonstrated that students’ perceptions Self-Confidence, Value, and Enjoyment motivate their willing for learning and appreciating mathematics.