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Educación matemática

On-line version ISSN 2448-8089Print version ISSN 0187-8298

Abstract

CUJBA, Andreea  and  PIFARRE, Manoli. Relationships between statistical performance and student attitudes in the framework of a data analytics project with technology. Educ. mat. [online]. 2023, vol.35, n.2, pp.196-225.  Epub Jan 19, 2024. ISSN 2448-8089.  https://doi.org/10.24844/em3502.08.

Abstract: Previous educational research claims the impact of students’ attitudes toward learning on academic performance and, specifically, on learning statistics. Other educative researches have shown how the use of innovative educational interventions could improve these attitudes and learning. In the framework of an international project, this paper reports students’ results after their participation in an innovative educational intervention about data analytics based on problem solving, collaborative work and technology. The aim of the study is twofold: (1) study if the educative intervention improves students’ performance and (2) if there is a positive relationship between students’ attitudes towards statistics and their statistical performance. In order to reach these aims, in the context of a larger quasi-experimental research that it has already reported improvement on the students’ attitudes, towards statistics, a case study has been carried out. 110 Spanish secondary education students (13/14-year-old) participated in this study. The results confirm that those projects that embed data analytics, technological tools and collaborative learning have a positive impact on students’ attitudes towards statistics and performance.

Keywords : secondary education; data analytics; attitudes; project-based learning; statistics with technology.

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