Duarte, RogérioNobre, Ângela LacerdaPimentel, FernandoJacquinet, Marc2021-03-162021-03-162021-02-09Duarte, R., Nobre, Â. L., Pimentel, F., & Jacquinet, M. (2021). Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences. arXiv preprint arXiv:2102.04811.http://hdl.handle.net/10400.2/10562Accreditation bodies call for curriculum development processes open to all stakeholders, reflecting viewpoints of students, industry, university faculty and society. However, communication difficulties between faculty and non-faculty groups leave unexplored an immense collaboration potential. Using classification of learning objectives, natural language processing, and data visualization, this paper presents a method to deliver program plan representations that are universal, self-explanatory, and empowering. 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 educationworking paper