Learning pathway: Content Management and Identification of Student Behavior Through Online Learning Management in Java
Vinayak Hegde1, Smruthi.G2, Sahana Patil3 

1Vinayak Hegde, Department of Computer Science Amrita School of Arts and Science, Amrita Vishwa Vidyapeetham, Mysuru, India.
2Smruthi.G, Department of Computer Science Amrita School of Arts and Science, Amrita Vishwa Vidyapeetham, Mysuru, India.
3Sahana Patil, Department of Computer Science Amrita School of Arts and Science, Amrita Vishwa Vidyapeetham, Mysuru, India.

Manuscript received on 06 March 2019 | Revised Manuscript received on 13 March 2019 | Manuscript published on 30 July 2019 | PP: 492-497 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1040078219/19©BEIESP | DOI: 10.35940/ijrte.B1040.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Learning path in the online learning system refers to a series of objects which are structured to help students in improving their knowledge in a particular subject. Content is provided to the students and a proper path is set so there will not be any distraction or confusion while studying. In conventional way of teaching if the students would miss one session they will not be able to understand the next session and students will lose interest in the subject, the chances of failure will be more. By providing the content, students can understand the flow so they won’t miss any topic and understand the subject. The session is provided so that the students can be tracked and they wouldn’t miss any topic and score well. Admin will manage the content by adding or removing the content according to the technology and monitor the session time, teachers will get the information of students by admin and teachers will track the students, students will study the content. It is useful to identify the behaviour of the student through the tracking of the user session. Based on the time spent on the content the behavioural pattern of the students is predicted and analysed. The user is analysed based on the behavioural patterns like time spent on the content, skipping of content and the session time. It is hypothesized that the students will be able to get knowledge deeper and can master the subject. It is a web-based java tutoring system which provides an online platform for students. It provides appropriate content for students to learn and understand the concepts clearly.
Index Terms: Students Behavior, Page Session Time, Content Management, and Education Data Mining.

Scope of the Article: E-Learning