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Exploring an online method of measuring implicit sequence-learning consciousness.
Lu, Feng; Huang, Chunlu; Zhu, Chuanlin; He, Yue; Shu, Deming; Liu, Dianzhi.
Afiliación
  • Lu F; School of Education Science, Taizhou University, Taizhou, China.
  • Huang C; Jiangsu Educational Press Group, Nanjing, China.
  • Zhu C; Department of Psychology, Soochow University, Suzhou, China.
  • He Y; School of Educational Science, Yangzhou University, Yangzhou, China.
  • Shu D; School of Educational Science, Yangzhou University, Yangzhou, China.
  • Liu D; School of Educational Science, Yangzhou University, Yangzhou, China. psyl2021@126.com.
Exp Brain Res ; 240(12): 3141-3152, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36241746
ABSTRACT
Existing methods for measuring implicit sequence-learning consciousness are conducted offline. Based on the traditional measurement of cued-generation task, this study implemented an online measurement method by converting a generation task into a forced-choice task to observe the dynamic changes of consciousness in the implicit sequence-learning process. In this study, we compared the performance of online measurement task and traditional sequence-learning tasks in 31 university students. The results revealed that the online indicators were significantly correlated with classic consciousness indicators and typical ERP components of consciousness. Without affecting the development of consciousness, the online measurement indicators were found to promptly and effectively reflect the gradually changing progression of consciousness in implicit sequence learning.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Seriado / Análisis y Desempeño de Tareas / Estado de Conciencia Límite: Humans Idioma: En Revista: Exp Brain Res Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Seriado / Análisis y Desempeño de Tareas / Estado de Conciencia Límite: Humans Idioma: En Revista: Exp Brain Res Año: 2022 Tipo del documento: Article País de afiliación: China