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Data Visualization System

Although generic LMS (Learning Management systems) are very effective in facilitating the delivery of distance learning courses, they provide very little help to instructors to gain understanding of cognitive and social processes in distance classes. For example, questions like: .what level of mastery on concept C has the student S achieved., or .did student S access the whole course materials, and when. or .has student S participated to discussions regularly. are diffcult to answer appropriately using conventional LMS.

A vast amount of data is collected by the LMS to keep a thorough record of the students' activities in a distance course, but this is usually presented in a complex tabular format, often incomprehensible and difficult to use by instructors. Even worse, commonly there is no relationship between concepts taught in a course and pages or quizzes created. As a result, instructors know very little (sometimes even nothing) about what is happening in their distance learning classes. Instructors may become confused or incapable of monitoring the individual learning needs or the misconceptions of the distance students.

We wish to explore the use of Information Visualisation to render the data collected from a LMS into an appropriate graphical manner. By applying visualization programs, data from LMS can be presented in a format suitable for the instructors to gain understanding of their learners and become aware of what is happening in their classes. Unlike student models, students' data gathered from the LMS is not processed by AI algorithms, but is processed and used to generate graphical representations which may reveal facts, trends or situations with students. With the representations produced by visualization techniques, information such as .student S needs help because he is performing very badly at evaluation proofs. are not suggested by a computer program, but can be inferred in the mind by the instructors looking at graphical representations of the students performance on quizzes.

We propose to build flexible student monitoring and tracking system for a generic LMS where the information needed to build a student model is provided by the log data of the students' activities collected by the LMS. This can be done by representing LMS's activities and communications students have been engaged in graphical representations.

Key Features

The Key features of this module are:-

  • Site Activity
  • Student Activity
  • Per student usage
  • Course Analysis
  • Student Performance Reports and charts