【摘 要】
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In this paper,we present a classification based system to discover knowledge and trends in higher education students projects.Essentially,the educational capstone projects provide an opportunity for s
【机 构】
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School of Information Systems Singapore Management University,Singapore
【出 处】
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The 23rd International Conference on Computers in Education(
论文部分内容阅读
In this paper,we present a classification based system to discover knowledge and trends in higher education students projects.Essentially,the educational capstone projects provide an opportunity for students to apply what they have learned and prepare themselves for industry needs.Therefore mining such projects gives insights of students experiences as well as industry project requirements and trends.In particular,we mine capstone projects executed by Information Systems students to discover patterns and insights related to people,organization,domain,industry needs and time.We build a capstone projects mining system(CPMS)based on classification models that leverage text mining,natural language processing and data mining techniques.
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