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Philip Romero-Masters

Dados Biográficos

ID9722507
NOMEPhilip Romero-Masters
PRENOMESPhilip
SOBRENOMERomero-Masters
ASSINATURAROMERO-MASTERS P
AFILIAÇÕESUniversity of Wisconsin Madison, Madison, Wisconsin, USA
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2020
ÍNDICE H0
  • Uncovering themes in personalized learning

    David Mchugh, Sarah Shaw et al.•ARTICLE•Journal of Research on Technology…•2020

    Using a natural language processing tool, this study examined participant discourse in personalized learning schools to better understand what personalized learning looks like in practice. Term frequency-inverse document frequency (tf-idf) was used to identify the significant words and potential emergent themes for 134 interview transcripts. This tool provided a way to swiftly explore the structure of the data, revealing distinctions in the vocab…

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  • Uncovering themes in personalized learning

    David Mchugh, Sarah Shaw et al.•ARTICLE•Journal of Research on Technology…•2020

    Using a natural language processing tool, this study examined participant discourse in personalized learning schools to better understand what personalized learning looks like in practice. Term frequency-inverse document frequency (tf-idf) was used to identify the significant words and potential emergent themes for 134 interview transcripts. This tool provided a way to swiftly explore the structure of the data, revealing distinctions in the vocab…

Computer Science (1 obras) · Educational Technology and Assessment (1 obras) · Educational Tools and Methods (1 obras) · Linguistics (1 obras) · Mathematics education (1 obras) · Online Learning and Analytics (1 obras) · Psychology (1 obras) · Vocabulary (1 obras) · Vocabulary Learning (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae