Duarte, RogérioNobre, Ângela LacerdaPimentel, FernandoJacquinet, Marc2024-01-192024-01-192023-12-31Duarte R, Lacerda Nobre Â, Pimentel F, Jacquinet M. - Broader Terms Curriculum Mapping: Using Natural Language Processing and Visual-Supported Communication to Create Representative Program Planning Experiences. Applied System Innovation. 2024; 7(1):7. https://doi.org/10.3390/asi7010007http://hdl.handle.net/10400.2/15525Accreditation 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 educationEducaçãoCurriculojournal article10.3390/asi7010007