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

Autor:	Duarte, Rogério, Nobre, Ângela Lacerda, Pimentel, Fernando, Jacquinet, Marc
Rok vydání:	2021
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: v3 removed date and undertitle
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2102.04811 Zobrazit plný text záznamu View this record from Arxiv