Game-Based Formative Assessment of Analogical Reasoning in Preschool Children: Support from the Internet of Things Technology

Xue Lv (), Li Li, Liping Guo, Ting He and Sirui Liu
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Xue Lv: School of Education, Jiangsu University of Technology, Changzhou 213001, China
Li Li: School of Education, Jiangsu University of Technology, Changzhou 213001, China
Liping Guo: Faculty of Education, East China Normal University, Shanghai 200062, China
Ting He: Faculty of Education, East China Normal University, Shanghai 200062, China
Sirui Liu: School of Education, Jiangsu University of Technology, Changzhou 213001, China

Sustainability, 2022, vol. 14, issue 21, 1-17

Abstract: Emerging information technology such as Internet of Things (IoT) has been continuously applied and deepened in the field of education, and the learning analytics technology based on children’s games is gradually moving toward practical application research, but there are few empirical studies on the micro level of emerging information technology and learning analytics methods in the evaluation of young children’s learning process and learning effects. As the research content, the study examines preschool children’s analogical reasoning abilities, reflecting their thinking levels and processing abilities. Using a decision tree model in learning analytics, the process data and result data of children’s analogical reasoning games based on Internet of Things technology are analyzed, and the classification model of preschool children’s analogical reasoning is constructed. The study found that the learning analysis of analogical reasoning based on games mediated by IoT technology is feasible and effective.

Keywords: game-based assessment; analogical reasoning; Internet of Things; learning analytics; preschool children (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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