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Visualizing Curricula

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020) 12169 LNAI 544-547
DOI: 10.1007/978-3-030-54249-8_53
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Abstract

The poster presents an approach for curriculum mapping through the use of data visualization techniques. A sample set of six courses is selected to study the potential of this method. Primary course data is mined from syllabi and assignments and then organized in a database format. The structure leverages course content as data to visualize information about learning objectives, competencies, and sequencing. Course content and sequence-based mapping examples provide evidence of this approach.

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Niemiec, J. (2020). Visualizing Curricula. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12169 LNAI, pp. 544–547). Springer. https://doi.org/10.1007/978-3-030-54249-8_53

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