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Conference proceeding
Visualizing Curricula
DIAGRAMMATIC REPRESENTATION AND INFERENCE, DIAGRAMS 2020, pp 544-547
01 Jan 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
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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Details
- Title
- Visualizing Curricula
- Creators
- Jacklynn Niemiec - Drexel University
- Publication Details
- DIAGRAMMATIC REPRESENTATION AND INFERENCE, DIAGRAMS 2020, pp 544-547
- Conference
- 11th International Conference on the Theory and Application of Diagrams, Diagrams 2020, 11th (Tallinn, Estonia, 24 Aug 2020–28 Aug 2020)
- Series
- Lecture Notes in Artificial Intelligence; 12169
- Publisher
- Springer Nature
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Architecture, Design, and Urbanism
- Web of Science ID
- WOS:000711951500053
- Scopus ID
- 2-s2.0-85090026230
- Other Identifier
- 991019169626204721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering
- Logic
- Mathematics, Applied