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Publication
Broader terms curriculum mapping: using natural language processing and visual-supported communication to create representative program planning experiences
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Advisor(s)
Abstract(s)
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.
Description
Keywords
Curriculum mapping Natural language processing (NLP) Network graphs Learning objectives classification Curriculum analytics Curriculum design Higher education
Citation
Duarte, R., Nobre, Â., Pimentel, F. & Jacquinet, M.(2024). Broader terms curriculum mapping: using natural language processing and visual-supported communication to create representative program planning experiences. Applied System Innovation, 7(1), 7. https://doi.org/10.3390/asi7010007