Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences - Université Toulouse - Jean Jaurès Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2021

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

Rogério Duarte
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Fernando Pimentel
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Marc Jacquinet

Résumé

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.
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Dates et versions

hal-03154022 , version 1 (26-02-2021)

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  • HAL Id : hal-03154022 , version 1

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Rogério Duarte, Ângela Lacerda-Nobre, Fernando Pimentel, Marc Jacquinet. Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences. 2021. ⟨hal-03154022⟩

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