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Broader terms curriculum mapping: using natural language processing and visual-supported communication to create representative program planning experiences
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Orientador(es)
Resumo(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.
Descrição
Palavras-chave
Curriculum mapping Natural language processing (NLP) Network graphs Learning objectives classification Curriculum analytics Curriculum design Higher education
Contexto Educativo
Citação
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