Storage and Reuse of Each Student's Personalized Documents Using a Non-structured Database

Abstract

Personalization in e-Learning systems is becoming increasingly important. However, most personalization research is focused on user groups with information collected from registration data and logs. We propose a method for the storage and reuse of each student's personalized documents in an e-Learning system using a non-structured database like MongoDB. We create a document, which is serviced to the user as a short exam, and focus on analyzing the document itself using feedback from the user. Furthermore, we develop a system that automatically assembles test questions from a set of examples. We discuss how to store and reuse the documents and automatically assemble test questions, which are restructured for each user. Lastly, we discuss about how to combine each examples using user feedback.