Duarte, RogérioNobre, A.Pimentel, FernandoJacquinet, Marc2024-01-232024-01-232024Duarte, 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/asi70100072571-5577http://hdl.handle.net/10400.26/49268Accreditation 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.engCurriculum mappingNatural language processing (NLP)Network graphsLearning objectives classificationCurriculum analyticsCurriculum designHigher educationjournal articlehttps://doi.org/10.3390/asi7010007