DOI: 10.3390/asi7010007 ISSN: 2571-5577

Broader Terms Curriculum Mapping: Using Natural Language Processing and Visual-Supported Communication to Create Representative Program Planning Experiences

Rogério Duarte, Ângela Lacerda Lacerda Nobre, Fernando Pimentel, Marc Jacquinet
  • Artificial Intelligence
  • Applied Mathematics
  • Industrial and Manufacturing Engineering
  • Human-Computer Interaction
  • Information Systems
  • Control and Systems Engineering

Accreditation bodies call for curriculum development processes that are open to all stakeholders, reflecting viewpoints of students, industry, university faculty, and society. However, communication difficulties between faculty and non-faculty groups leave an immense collaboration potential unexplored. Using the classification of learning objectives, natural language processing, and data visualization, this paper presents a quantitative method that delivers program plan representations that are universal, self-explanatory, and empowering; promoting stronger links between program courses and curriculum development open to all stakeholders. A simple example shows how the method contributes to representative program planning experiences and a case study is used to confirm the method’s accuracy and utility.

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