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Looking Ahead: Advancing Measurement and Analysis of the Block Design Test Using Technology and Artificial Intelligence.
McKee, Kiley; Rothschild, Danielle; Young, Stephanie Ruth; Uttal, David H.
Afiliação
  • McKee K; Department of Psychology, Northwestern University, Evanston, IL 60208, USA.
  • Rothschild D; Department of Psychology, Northwestern University, Evanston, IL 60208, USA.
  • Young SR; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
  • Uttal DH; Department of Psychology, Northwestern University, Evanston, IL 60208, USA.
J Intell ; 12(6)2024 May 22.
Article em En | MEDLINE | ID: mdl-38921688
ABSTRACT
The block design test (BDT) has been used for over a century in research and clinical contexts as a measure of spatial cognition, both as a singular ability and as part of more comprehensive intelligence assessment. Traditionally, the BDT has been scored using methods that do not reflect the full potential of individual differences that could be measured by the test. Recent advancements in technology, including eye-tracking, embedded sensor systems, and artificial intelligence, have provided new opportunities to measure and analyze data from the BDT. In this methodological review, we outline the information that BDT can assess, review several recent advancements in measurement and analytic methods, discuss potential future uses of these methods, and advocate for further research using these methods.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article