Broader terms curriculum mapping: using natural language processing and visual-supported communication to create representative program planning experiences

• Autor(es): Duarte, Rogério ; Nobre, A. ; Pimentel, Fernando ; Jacquinet, Marc
• Data: 2024
• Identificador Persistente: http://hdl.handle.net/10400.26/49268
• Origem: Instituto Politécnico de Setúbal
• Assunto(s): Curriculum mapping; Natural language processing (NLP); Network graphs; Learning objectives classification; Curriculum analytics; Curriculum design; Higher education
• Tipo de Documento: Artigo científico
• Idioma: Inglês
• Contribuidor(es): Repositório Comum

Descrição

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.