Learning Statistics through Educational Data Analytics (Learning Analytics): A Systematic Review on the Prediction of Academic Performance

Abstract

This study seeks to analyze the scientific contribution on the incorporation of Information and Communication Technologies (ICT) in the educational field has revolutionized the pedagogical process in fields such as biostatistics in nursing, promoting access to interactive tools and digital resources. However, the integration of Information and Communication Technologies (ICT) also faces obstacles such as insufficient infrastructure, lack of teacher training and adaptation of pedagogical methodologies. An exploratory, descriptive, illustrative theoretical research is used, and through a bibliometric study, the information is systematized by means of the clustering technique, for which a bibliographic portfolio of 175 publications from the SCOPUS platform is selected, and the Bibliometrix tool in R is used to process the information. This made it possible to identify key trends and patterns in the research on the relationship between what offers a systematic evaluation of the challenges and possibilities inherent in the use of Information and Communication Technologies (ICT) in the instruction of biostatistics for nursing, an essential field for the promotion of research skills and data analysis in the health sector. The results provide a comprehensive overview of current studies and highlight the areas of greatest scientific impact in this field. Opportunities identified include the ability to tailor the learning process, encourage self-assessment and provide access to hands-on simulations that enhance learning. The adaptation and development of training programs in Information and Communication Technologies (ICT), in conjunction with an interdisciplinary approach to biostatistics, have the potential to optimize nursing education and more effectively prepare students to meet the challenges inherent in professional practice.