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

Duarte, Rogério; Nobre, Ângela Lacerda; Pimentel, Fernando; Jacquinet, Marc

http://hdl.handle.net/10400.2/10562

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Authors

Duarte, Rogério

Nobre, Ângela Lacerda

Pimentel, Fernando

Jacquinet, Marc

Abstract(s)

Accreditation 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.

Keywords

Curriculum mapping Natural Language Processing (NLP) Network graphs Learning objectives classification Curriculum analytics Curriculum design Higher education

URI

http://hdl.handle.net/10400.2/10562

Citation

Duarte, 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.