Capitalization of the programming skills in the study of statistical disciplines within master's programs

Abstract

In the context of digital transformations in education, the training of statistical skills of master's students becomes essential for the achievement of rigorous and reproducible educational research. Traditionally, statistical disciplines in the curriculum of master's programs in the field of 011 Educational Sciences use software with a graphical interface, such as SPSS, PSPP or Jamovi. Since students in the Information Technologies in Education master's program are mostly graduates of computer science bachelor's degree programs, it is proposed to capitalize on their programming skills by integrating the R language into the statistics course. The paper analyzes the pedagogical and technical advantages of using R in teaching educational statistics and emphasizes the potential of R to support the development of advanced digital skills among future education specialists.