Journal article

Academic Data Federation, Knowledge Base Construction and Heterogeneous Data Analysis For Improved Management at University Levels


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Publication Details

Author list: Ezekiel U. Okike, Seamogano Mosanako, Merapelo Mogorosi

Publisher: Information Technology Application Group (ITAG) International

Publication year: 2018

Volume number: 11

Issue number: 2

Start page: 21

End page: 30

Number of pages: 10

ISSN: 22141-1913

URL: https://www.jaistonline.org/11vol2/3.pdf

Languages: English



Purpose – The main objective of this study is to mine data which has been accumulated
through Black Board (BB) learn and Moodle Learning Management Systems (LMSs) over the past 15 years in order to evaluate what has taken place and how the information can be useful for strategic planning at the University of Botswana. Design/Methodology – This pilot study used three course files consisting of over 20000 instances of the data set. Three objectives and three research questions guided the study. Data mining- the non-trivial extraction of implicit, previously unknown, and potentially useful information from data is employed in this study. Using an educational data mining technology tool WEKA, massive stored data about students learning and teaching using Moodle and Blackboard (BB) Learn at the University of Botswana are pre-processed, classified, clustered, and visualized.
Findings – Valuable information about students engagement with learning resources provided by the Learning Management Systems (LMS), students study and learning pattern, lecturers engagement and interaction with students on the LMS platforms (BB and Moodle) were discovered. In all the three course files, Quiz has the highest rating of 8697.00, 8308.00, and 38530.00 respectively for course files 1, 2, 3. This is followed by Forum, Assignment and Chat. This shows that the course lecturer spends more time on Quizzes. In course 3, the lecturer concentrated efforts on Quizzes and very little time on the other resources including forum, chat and assignment (Research questions 1,2,3). This suggests that teaching and learning in this in this course is not fully engaging, and the lecturer is not utilizing the LMS resources fully. In course 2, the same conclusion was reached, although the lecturer used a bit of forum (Research questions 1,2,3). In course 1, the lecturer also gave more attention to quizzes and forums, assignments, and less of chats. Practical Implications - This report could guide improvement on teaching and learning using learning management platforms at the university


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Last updated on 2022-29-11 at 11:35