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2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK)

Wuhan,China,2012-12-142012-12-162012

ISBN: 978-1-61896-036-8 Scientific Research Publishing

E-Book 275pp Pub. Date: December 2012

Category: Computer Science & Communications

Price: $100

Title: Application of Data Mining to Analyze Students’ Performance in Various Perspectives
Source: 2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK) (pp 189-192)
Author(s): Anwar M. A., College of Engineering and Applied Sciences,Al Ghurair University,Academic City Dubai, United Arab Emirates
Naseer Ahmed, Institutional Research and Effectiveness,Al Ghurair University,Academic City Dubai, United Arab Emirates
Abstract: The hidden knowledge in students’ performance database may provide better insight rather than the predefined queries or reports on the database for quality enhancement and improvement of student learning. This paper presents data mining approach applied to discover students’ performance patterns in two different perspectives (a) supervised and unsupervised assessment instruments and (b) students’performance patterns in mathematics, English, and programming courses in an engineering degree program. The interesting patterns emerging from both analytic studies offer valuable and constructive suggestions for the improvement and revision of assessment methodologies, restructuring the curriculum, and modifying the prerequisites requirements of various courses of an academic program.
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