Online Assessment and Game-Based Development of Inductive Reasoning

Autor: Attila Pásztor, Andrea Magyar, Anita Pásztor-Kovács, Attila Rausch
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Intelligence, Vol 10, Iss 3, p 59 (2022)
Druh dokumentu: article
ISSN: 2079-3200
DOI: 10.3390/jintelligence10030059
Popis: The aims of the study were (1) to develop a domain-general computer-based assessment tool for inductive reasoning and to empirically test the theoretical models of Klauer and Christou and Papageorgiou; and (2) to develop an online game to foster inductive reasoning through mathematical content and to investigate its effectiveness. The sample was drawn from fifth-grade students for the assessment (N = 267) along with the intervention study (N = 122). The online figurative test consisted of 54 items: nine items were developed for each of the six inductive reasoning processes. The digital game-based training program included 120 learning tasks embedded in mathematical content with differential feedback and instructional support. The test had good psychometric properties regarding reliabilities, means, and standard deviations. Confirmatory factor analyses revealed that the six processes of inductive reasoning and the three latent factors of Similarity, Dissimilarity, and Integration could be empirically confirmed. The training program was effective in general (corrected effect size = .38); however, the process of cross-classification was not developed significantly. Findings could contribute to a more detailed understanding of the structure and the modifiability of inductive reasoning processes and could reveal further insights into the nature of fluid intelligence.
Databáze: Directory of Open Access Journals
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