conference-paper

Capstone Projects Mining System for Insights and Recommendations

  • Singapore Management University Institutional Knowledge (InK) (Singapore Management University)
  • Singapore Management University
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Abstract

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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Publication details

OpenAlex
W2228039954
Document type
conference-paper
Language
EN
Source
Singapore Management University Institutional Knowledge (InK) (Singapore Management University)
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