Xue Lv, Li Li, Liping Guo, Xuecheng Zou, Ting He, Yaqin Xi
{"title":"Exploring developmental trajectories of analogical reasoning in preschool children: A cognitive diagnostic approach enhanced by IoT technology.","authors":"Xue Lv, Li Li, Liping Guo, Xuecheng Zou, Ting He, Yaqin Xi","doi":"10.1016/j.actpsy.2025.105615","DOIUrl":null,"url":null,"abstract":"<p><p>This study examines the developmental characteristics of analogical reasoning in preschool children, utilizing Cognitive Diagnostic Models (CDMs) and innovative Internet of Things (IoT) technology to enhance assessment accuracy and efficiency. Participants included 539 preschool children (mean age = 66.87 months, SD = 7.24) from four kindergartens across two cities in eastern China, with 284 boys and 255 girls, representing middle and senior class levels. The analogical reasoning test was designed using animal figure tasks, calibrated with Optical Identify (OID) technology for automated data collection. Results indicate significant age and gender differences in analogical reasoning ability and cognitive attribute mastery patterns. Senior-class children demonstrated higher levels of analogical reasoning, while girls generally outperformed boys. The findings suggest that OID-enhanced cognitive diagnostic assessments effectively capture real-world interactions, supporting detailed diagnostic reports on preschoolers' cognitive strengths and weaknesses. This study contributes to early childhood education by offering a scalable, technology-based assessment model that may improve individualized educational support for cognitive development.</p>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":"260 ","pages":"105615"},"PeriodicalIF":2.7000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Psychologica","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1016/j.actpsy.2025.105615","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines the developmental characteristics of analogical reasoning in preschool children, utilizing Cognitive Diagnostic Models (CDMs) and innovative Internet of Things (IoT) technology to enhance assessment accuracy and efficiency. Participants included 539 preschool children (mean age = 66.87 months, SD = 7.24) from four kindergartens across two cities in eastern China, with 284 boys and 255 girls, representing middle and senior class levels. The analogical reasoning test was designed using animal figure tasks, calibrated with Optical Identify (OID) technology for automated data collection. Results indicate significant age and gender differences in analogical reasoning ability and cognitive attribute mastery patterns. Senior-class children demonstrated higher levels of analogical reasoning, while girls generally outperformed boys. The findings suggest that OID-enhanced cognitive diagnostic assessments effectively capture real-world interactions, supporting detailed diagnostic reports on preschoolers' cognitive strengths and weaknesses. This study contributes to early childhood education by offering a scalable, technology-based assessment model that may improve individualized educational support for cognitive development.
期刊介绍:
Acta Psychologica publishes original articles and extended reviews on selected books in any area of experimental psychology. The focus of the Journal is on empirical studies and evaluative review articles that increase the theoretical understanding of human capabilities.