Visually supported curriculum development

Autor: Duarte, Rogério, Nobre, Ângela Lacerda, Jacquinet, Marc, Pimentel, Fernando
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Popis: XXVIII Jornadas de Classificação e Análise de Dados, realizadas na Covilhã, de 9-11 de dezembro de 2021. 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. info:eu-repo/semantics/publishedVersion
Databáze: OpenAIRE