Digital Repository

Identification of varying standard of student based on Moodle Pattern Identification Business Intelligence Tool

Show simple item record

dc.contributor.author Jayakody, J.R.K.C.
dc.contributor.author Allagalla, W.H.P.
dc.date.accessioned 2016-08-15T05:39:59Z
dc.date.available 2016-08-15T05:39:59Z
dc.date.issued 2016
dc.identifier.citation Jayakody, J.R.K.C. and W.H.P. Allagalla 2016. Identification of varying standard of student based on Moodle Pattern Identification Business Intelligence Tool. In: Proceedings of the International Symposium on Information and Communication Technology for Sustainable Development, 10-12 August 2016, V.P.A. Weerasinghe and W.M.D.N. Wijeyaratne (Eds.), p 25, Department of Zoology and Environmental Management, University of Kelaniya, Kelaniya, Sri Lanka 57pp. en_US
dc.identifier.isbn 978-955-4563-83-4
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/13982
dc.description.abstract Learning Management Systems (LMS) takes place as an interaction in the internet environment, with different methods for retrieving class content, materials, subject related information, resources and student teacher interactions. Since the interaction details of the LMS such as Moodle is stored in its database as log files, those logs can be used to analyze and understand the weak and good students. Discussions, Forums, Assignments, wikis and the course are the main categories of the logs which are resided in the logs. This research was done to develop a Business intelligence (BI) tool to identify the able students and less able students log patterns with Moodle which is immensely helpful to identify the less able students very early and find remedies to improve their educational standard. Moodle dataset of MSc Business Management students of University of Moratuwa was used for the research. Store procedures were written in java to extract the xml format data to store the log details to mysql server. BI capabilities such as organizational memory, information integration, insight creation and visualization were covered. Sql server 2012 was used as the main database to develop the data warehouse . Dimensions were created to generate the necessary cubes. Apart from that sql server integration services were used to enhance the Extract-Transform-Load (ETL) process. Data cubes were analyzed with Multidimensional Expressions (MDX) queries. finally dashboards were built using power BI too. Power Pivot graph and the power table were used to present interactive details to the end users. Number of patterns was realized to identify the less able students. Based on assignment submission, number of time a user used the system, number of times pages and resources were accessed, new patterns were identified and presented to the users to get the decision which is immensely helpful to the academics and the students. en_US
dc.language.iso en en_US
dc.publisher Department of Zoology and Environmental Management, University of Kelaniya, Kelaniya, Sri Lanka. en_US
dc.subject Business Intelligence en_US
dc.subject data warehouse en_US
dc.subject pattern recognition en_US
dc.subject multi-dimensional queries en_US
dc.title Identification of varying standard of student based on Moodle Pattern Identification Business Intelligence Tool en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account