Investigating the network structure of domain-specific knowledge using the semantic fluency task.
Cognitive scientists have a long-standing interest in quantifying the structure of semantic memory. Here, we investigate whether a commonly used paradigm to study the structure of semantic memory, the semantic fluency task, as well as computational methods from network science could be leveraged to...
| Publicado en: | Memory & Cognition Vol. 51; no. 3; pp. 623 - 647 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Apr2023
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=162260003&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 162260003 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0090502X MEG jtl: Memory & Cognition issn: 0090502X maglogo: N pubinfo: dt: Apr2023 vid: 51 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 162260003 10.3758/s13421-022-01314-1 ppf: 623 ppct: 24 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.5MB tig: atl: Investigating the network structure of domain-specific knowledge using the semantic fluency task. aug: au: Siew, Cynthia S. Q. Guru, Anutra affil: Department of Psychology, National University of Singapore, 9 Arts Link, Block AS4, 117570, Singapore, Singapore su: Task performance Undergraduates Paradigms (Social sciences) Intellect Psychology of high school students Large-scale brain networks Semantic memory Research funding Prompts (Psychology) sug: subj: Task performance Undergraduates Paradigms (Social sciences) Intellect Psychology of high school students Large-scale brain networks Semantic memory Research funding Prompts (Psychology) keyword: Expertise Knowledge representation Semantic fluency task Semantic networks Expertise Knowledge representation Semantic fluency task Semantic networks ab: Cognitive scientists have a long-standing interest in quantifying the structure of semantic memory. Here, we investigate whether a commonly used paradigm to study the structure of semantic memory, the semantic fluency task, as well as computational methods from network science could be leveraged to explore the underlying knowledge structures of academic disciplines such as psychology or biology. To compare the knowledge representations of individuals with relatively different levels of expertise in academic subjects, undergraduate students (i.e., experts) and preuniversity high school students (i.e., novices) completed a semantic fluency task with cue words corresponding to general semantic categories (i.e., animals, fruits) and specific academic domains (e.g., psychology, biology). Network analyses of their fluency networks found that both domain-general and domain-specific semantic networks of undergraduates were more efficiently connected and less modular than the semantic networks of high school students. Our results provide an initial proof-of-concept that the semantic fluency task could be used by educators and cognitive scientists to study the representation of more specific domains of knowledge, potentially providing new ways of quantifying the nature of expert cognitive representations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|