Privacy, security and legality in educational solutions based on Blockchain: A Systematic Literature Review)

Abstract

Learning Analytics processes student data, even for students under 18. The analytical cycle consists of collecting data, storing it for long periods and using it for analysis and visualization. The more data, the better the analysis. This analysis can be descriptive, predictive and, even, prescriptive, which involves the management, processing and use of personal data. The educational context is, thus, very sensitive, unlike individual contexts where analysis is used at will. It is not clear how student data are being used by technology companies serving education and who is actually benefiting, how this will affect students in the short and long-term future, or what level of privacy or security is applied to protect student data. Therefore, and in relation to the above, analyzing educational data implies a sensitive and fragile context in the management and analysis of personal data of students, including minors, in which precautions must be maximized. This systematic review of the literature explores the importance of personal data protection and security in the field of education through the emerging promises of those interested in using blockchain technology. The results show that it is important to understand the implications and risks derived from the use of emerging technologies in education, their relationship with society and the current legislation.