Personalized and Generic E-assessment Process Based on Cloud Computing

Abstract

Currently, there are many problems of the application development of E-Assessment such as the difficulty to use the assessment object from a platform to another one. In addition, the domain model reuse rate is very low in various application systems, and hardness to guarantee the consistency between designs and codes. Therefore, to resolve these problems, we need an approach aiming to automate the modeling and coding processes in e-assessment system. The present study describes an approach, based on service cloud computing, for integrating e-assessment functionalities of candidate LMS systems into a generalized e-assessment process. The proposed approach is based on three steps. The first step consists on development of generic e-assessment process based on reverse engineering. The second step describes a set mapping rules to adapt this generic e-assessment process on the learning profiles. To ensure more flexibility in the generated e-assessment process, we create a composite cloud service that's defining the mapping rules. The third step consists of defining the resulting e-assessment process as a composite cloud service allowing flexibility and interoperability between any LMS e-assessment.