Monitoring and Securing Learning in Educational Social Networks

Abstract

Educational social networks are online platforms designed to foster learning and knowledge exchange. They provide a space where students, teachers, and experts can interact, share educational content, and collaborate on academic projects. These platforms play a crucial role in promoting online learning by creating dynamic virtual educational communities and facilitating access to various educational resources. A major problem in educational social networks is to work in groups. It can be difficult to ensure effective grouping of students based on their interests, skill levels, or learning needs. This can lead to a less personalized and effective learning experience. Additionally, group management can be complex for teachers who must balance the diverse needs and skills of students within each group. It is essential to develop solutions to facilitate relevant and flexible student grouping in online learning environments. Furthermore, educational environments face significant data security. To address these problems, we propose an approach that ensures: (1) Effective grouping where the system can develop grouping algorithms based on students’ interests, skills, and learning needs using an Artificial Intelligence (AI) algorithm. Students and teachers can also play an active role by monitoring and adjusting groups as needed and (2) we propose solving the security issue using Blockchain technologies.