An initial framework of fuzzy neural network approach for online learner verification process

Abstract

Online learning is become more popular among university due to its flexibility and adaptability. The student authentication as online learner is widely seen as a major concern for online assessment. In most cases, there is absent of face-to-face supervision during online assessment, this situation leads the student to use or find help from others in order to get high scores in their result. This paper address the issue related to online assessment. The main objective of this work was to propose the use of online learner verification framework. This proposed solution utilizes the keystroke analysis and activity-based authentication for the online learner authentication. A fuzzy neural network is used to train and validate the online learner’s identity. The proposed framework can be implementing in any online learning environment for verifying online learner identity.