Topic Level Visualization of Student Enrollment Records in a Computer Science Curriculum

Reviewing academic curricula requires a significant investment of time and expertise. Beyond accreditation, curriculum may be reviewed in part or in whole during other administrative efforts including the consideration of new elective courses, faculty-student advising, admission of transfer students, internal audits, and more. These activities often require multiple people with deep knowledge of the coursework as well as the discipline(s) involved to pour over scattered documentation and comparatively limited assessment data in order to make an informed decision. In this work, we explored the development of a semi-automated computational approach to visualize a curriculum as described in official course listings at a topic level of detail. We show how our approach can help provide a detailed view of how topics are covered across multiple courses and how these visualizations can show similarities and differences for individual student registration records, paving the way for personalized student support. We also identified opportunities for improvement in this method, including the need to develop more robust topic mapping techniques for short texts

Computer-Assisted Instruction · Curriculum · Mathematics education · Multimedia · Pedagogy · Visualization · Computer Science · Online Learning and Analytics · Psychology · Artificial Intelligence

• Latent Dirichlet allocation (LDA) and topic modeling

  Open Access•Hamed Jelodar, Yongli Wang et al.•Multimedia Tools and Applications•2019

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• Curriculum mapping as deliberation - examining the alignment of subject learning outcomes and course curricula

  Bick Har Lam, Kwok Tung Tsui•Studies in Higher Education•2016

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