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  • 标题:Taxonomia para Avaliação de Recursos Digitais de Aprendizagem - TARDA - Versão 2.0
  • 本地全文:下载
  • 作者:Ozonias de Oliveira Brito Junior ; Yuska Paola Costa Aguiar ; Hermano Perrelli de Moura
  • 期刊名称:RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação
  • 印刷版ISSN:1646-9895
  • 出版年度:2021
  • 期号:42
  • DOI:10.17013/risti.42.120-135
  • 语种:Portuguese
  • 出版社:Associação Ibérica de Sistemas e Tecnologias de Informação (AISTI)
  • 摘要:Digital Learning Resources (DLRs) are designed to implement pedagogies based on the use of technology and contribute to the teaching and learning process. However, the diversity of approaches for the assessment of DLRs is a barrier to the evaluation process. Therefore, the Taxonomy for the Assessment of Digital Learning Resources (TADLR - Version 2.0) is proposed from 26 approaches described in national and international literature. This includes dimensions of software quality, quality of use and pedagogical quality. In order to verify the adequacy of the referred taxonomy with the potential evaluators of DLRs, 32 experts in the area of Software quality and 45 in the area of quality of use answered two questionnaires elaborated in the scope of this research. In addition, 7 interviews were also carried out with 21 educators. As a result, TADLR - V2 has 4 dimensions, 17 categories and 49 criteria for assessing RDAs.
  • 关键词:Digital Learning Resources; Taxonomy for the assessment of Digital Learning Resources; Assessment of Information and Communication Systems and Technologies
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