English

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

Computation and Language 2022-06-17 v3

Abstract

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

Cite

@article{arxiv.2102.04811,
  title  = {Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences},
  author = {Rogério Duarte and Ângela Lacerda Nobre and Fernando Pimentel and Marc Jacquinet},
  journal= {arXiv preprint arXiv:2102.04811},
  year   = {2022}
}

Comments

v3 removed date and undertitle

R2 v1 2026-06-23T22:58:46.805Z