INTEGRATION OF DIGITAL TECHNOLOGIES IN LEARNING EXPERIMENTAL STATISTICS AND BIOSTATISTICS AT IFGOIANO - CAMPUS URUTAÍ
Learning statistics; digital technologies; higher education.
This research aims to analyze the contribution of the use of graphical and interactive interfaces of open-source statistical data analysis software, mediated by Digital Technologies, to the learning of statistical concepts in experimental statistics and biostatistics courses in some undergraduate programs. The study seeks to address the research problem of undergraduate students' difficulty in learning statistics. This study is part of the Contemporary Studies and Educational Practices Research Line of the Graduate Program in Education: Contemporary Contexts and Popular Demands at the Federal Rural University of Rio de Janeiro (UFRRJ) and is linked to the Study and Research Group on Information and Communication Technologies in Mathematics Education (GEPETICEM). The research site is the Instituto Federal Goiano - Urutaí Campus - Goiás (IF Goiano – Urutaí Campus), offering the Bachelor's Degree in Agricultural Engineering (Agricultural Engineering), Bachelor's Degree in Nutrition (Nutrition), and Bachelor's Degree in Biological Sciences (Biology). This qualification document is structured as a multi-paper, organized into four independent articles, each linked to the specific research objectives and seeking to address the proposed general objective. Two articles derive from the third specific objective. This is a qualitative, pedagogical intervention study. Data collection was conducted using semi-structured interviews, observation with journal entries, and video and audio recordings of students. The research subjects are students from the aforementioned programs. The time frame is the year 2024. The aim of these articles is to analyze learning through the use of statistical computing environments with graphical and interactive interfaces and other DTs, as educational resources that will enrich this process of learning statistics and its literacy.