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Advisor(s)
Abstract(s)
Curriculum development processes are of paramount importance for the preparation
of future professionals. An impediment to these processes lays in stakeholders’
communication difficulties. This study considers the combination of
information and data science techniques namely, the use of classification, natural
language processing and network graphs, to make curriculum representations
self-explanatory, bridging communication gaps and helping stakeholders
to articulate their expert knowledge.
Description
XXVIII Jornadas de Classificação e Análise de Dados, realizadas na Covilhã, de 9-11 de dezembro de 2021.
Keywords
Curriculum Pedagogy Learning Innovation
Citation
Duarte, R., Lacerda-Nobre, A., Pimentel, F., Jacquinet, M., 2021. "Visually supported curriculum development", in Book of Abstracts of the XXVIII Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD2021), 9-11 december, Covilhã, Portugal., pp.83-84.