文章基本信息

标题：An Outcome-based Approach Analysis of a Mathematical Engineering Course using K-Means Clustering Techniques
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作者：Zulkifli Mohd Nopiah ; Zulkifli Mohd Nopiah ; Mohd Noor Baharin 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2012
卷号：60
页码：179-183
DOI：10.1016/j.sbspro.2012.09.365
语种：English
出版社：Elsevier
摘要：AbstractThe purpose of this study is to identify the pattern of the programme outcomes on engineering mathematics subjects. A direct assessment method was used in evaluating the achievement of the PO. The direct assessments involved in this study were data marks from final exams, tests, quizzes, assignments or projects. The subject of this study was the first semester students from two engineering departments, Universiti Kebangsaan Malaysia, Department of Mechanical and Materials Engineering and Department of Civil Engineering. Suitable measurement tools based on Course Outcomes and Programme Outcomes techniques were then identified, as the main analysis tool and the attainment targets, or the performance criteria was set. The relevant data was then collected, analysed and compared to the other attainment target. If the target value is not attained, suggestions for improvement were made and implemented. Finally, a clustering technique called the “k-means clustering technique” was used in identifying the pattern that exists between POs. it was found the criterion of each cluster based on the mean value could produce a great indicator in identify the different types of student in achieving the PO value, while reducing the need to carry out too much data collection and analysis.
关键词：Assesment;Improvement;Clustering;CO;OBE;PO