Broader Terms Curriculum Mapping: Using NLP and Visual Communication for Program Planning

• Surveys three types of curriculum mapping (outcome, concept, and broader-term), establishes "Knowledge Concepts" as the correct literature term, and reviews circular ideograms and network graphs as visualisation methods.
• Program Planning Experiences
  • Accreditation bodies call for curriculum development processes open to all stake holders
    • Students
    • Industry
    • University Faculty
    • Society
  • Collaboration potential is unexplored due to faculty interaction limitation
  • Paper uses following
    • Classification of learning objectives
    • Natural language processing
    • Data visualization
  • Delivers quantitative method that delivers program plan representations
• 
• Four steps
  • Classification of course learning objective statements into broader terms
  • Use of natural language processing (NLP) to convert broader terms into quantitative frequencies of key program concepts
  • Visualization of key program concept frequencies and mapping with links between key concepts and or courses
  • Discussion , considering the participation of all stakeholder groups, of method's visual outputs and decision to reclassify or review course learning objectives
• Table1 lists courses their learning objectives and the extracted broader terms

Relevance

• Validates chosen terminology "Knowledge Topics / Topic Overlap". This paper is where the term "Knowledge Concepts" is grounded — use it as literature reference when justifying the label change in your dashboard. Network graph + heatmap visualisations are cited here.