Handling privacy and concurrency in an online educational evaluation system

Abstract

Nowadays, all academic institutions exhibit and distribute their material over Internet. Moreover, e-learning and e-evaluation products is one of the most rapidly expanding areas of education and training, with nearly 30% of U.S. college and university students now taking at least one online course. However, Internet increases the vulnerability of digital educational content exploitation since it is a potential hostile environment for secure data management. The challenge is that providing current online educational tools that are accessible by a large number of users, these educational environments handle data of varying sensitivity thus it is increasingly important to reason about and enforce information privacy guarantees in the presence of concurrency. The present paper provides a privacy preserving approach in a concurrent online educational evaluation system. It introduces a privacy preserving approach for utilizing online concurrent evaluation of acquired student competencies that handles the increasingly complex issues of designing, developing and e-competence evaluation systems suitable for educational and e-learning environments. The proposed architecture for an online competence evaluation system offers access control and protect users' private data while, it provides concurrent procedures for evaluating competencies.