Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences - Archive ouverte HAL Access content directly
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Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences

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Rogério Duarte
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  • PersonId : 1092121
Fernando Pimentel
  • Function : Author
  • PersonId : 1092122
Marc Jacquinet

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.
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Dates and versions

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

Identifiers

  • HAL Id : hal-03154022 , version 1

Cite

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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UNIV-TLSE2
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