Propostas didáticas com apoio de recursos tecnológicos no ensino de estatística na licenciatura em matemática

Abstract

The teaching of Statistics in Basic Education is essential and should include skills and competencies, aligning with the National Common Core Curriculum (BNCC). Each year, schools receive students who are increasingly immersed in a technological environment. In addition, the digital culture and the wide availability of technologies drive the inclusion of digital tools in Statistics teaching, such as spreadsheets and statistical software. Therefore, it is necessary to invest in the initial training of mathematics teachers, incorporating technological resources that broaden statistical understanding and enable more complex data analysis. This also encourages a more practical and integrated approach to Statistics in Basic Education. This research, using a mixed qualitative and quantitative approach, aims to explore didactic proposals that, supported by the use of technological resources, can enhance the initial training of mathematics teachers for teaching Statistics in Basic Education. The study was conducted in 2022 at the Federal University of the State of Rio de Janeiro (UNIRIO), with mathematics undergraduates. The research data collection instruments were a questionnaire, didactic proposals developed in an introductory Statistics course, lesson plans presented by students, and the material from a conversation circle held at the end of the course. As a result, the research revealed the need to diversify technological tools, going beyond GeoGebra, which was identified as the most well-known and used tool by undergraduates in solving activities. Despite this, participants highlighted the importance of adopting more sophisticated tools for complex analysis, especially with regard to data management. In addition, by strategically integrating technological resources in Statistics teaching during the initial training of mathematics teachers, an empowerment of future teachers was observed, preparing them to face the challenges of the contemporary data-driven world.