Analysis of Student Performance in E-learning Environment using Crow search based Fuzzy clustering

E-learning has become a powerful medium that uses the technology to impart education among students. Many courses are run online and therefore it is necessary to assess the involvement of students in the online classroom environment. The aim is to identify groups with high, low and moderate level of interest so that the teaching methods and course materials can be designed more effectively. This work uses Fuzzy C-Means clustering combined with crow search optimization for evaluating and analysing student participation in online classes. The accuracy of proposed method reached 96.5%.