The Box Interaction Game: Action-Based Divergent Thinking Tests for Chinese Preschoolers

The current methodologies for assessing divergent thinking in children are predominantly based on verbal response, which limits their applicability for evaluating the creative potential of preschoolers and toddlers. This study introduces the Box Interaction Game (BIG), which is an adaptation of the Unusual Box Test (UBT) to make it more suitable for Chinese children. By simplifying, reorganizing, and expanding the actions in the UBT, the BIG employs action-based assessments that are relevant to the Chinese context and evaluate validity and test-retest reliability in preschoolers. The results revealed statistically significant but modest correlations between the verbal Unusual Uses Task (UUT) and the BIG test. Specifically, total scores (<i>τ</i> = 0.24, <i>p</i> = 0.02), fluency scores (<i>τ</i> = 0.23, <i>p</i> = 0.029), and originality scores (<i>τ</i> = 0.21, <i>p</i> = 0.04) showed low-to-moderate associations, indicating preliminary support for convergent validity, although further refinement is needed to strengthen these relationships. Additionally, the BIG demonstrates strong internal consistency (Cronbach's alpha = 0.83 for both fluency and originality) and moderate test-retest reliability (ICC for fluency = 0.67, for originality = 0.74). These findings suggest that BIG is a promising and developmentally appropriate tool for assessing divergent thinking in Chinese preschoolers, offering a foundation for future work on early creative thinking in China.

Authors

Institutions

Publication Details

Journal
Journal of Intelligence
Published
2025-06-24
DOI
https://doi.org/10.3390/jintelligence13070075
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Box Interaction Game: Action-Based Divergent Thinking Tests for Chinese Preschoolers

Yinghui Guo, Qunlin Chen, Jing Chen, H. Yang et al.
Journal of Intelligence
Creativity in Education and Neuroscience
article

The Box Interaction Game: Action-Based Divergent Thinking Tests for Chinese Preschoolers

Yinghui Guo, Qunlin Chen, Jing Chen, H. Yang, Ying Du, Fei Zhi, Yilan Xiao, Yunqi Ning
article en

Abstract

The current methodologies for assessing divergent thinking in children are predominantly based on verbal response, which limits their applicability for evaluating the creative potential of preschoolers and toddlers. This study introduces the Box Interaction Game (BIG), which is an adaptation of the Unusual Box Test (UBT) to make it more suitable for Chinese children. By simplifying, reorganizing, and expanding the actions in the UBT, the BIG employs action-based assessments that are relevant to the Chinese context and evaluate validity and test-retest reliability in preschoolers. The results revealed statistically significant but modest correlations between the verbal Unusual Uses Task (UUT) and the BIG test. Specifically, total scores (<i>τ</i> = 0.24, <i>p</i> = 0.02), fluency scores (<i>τ</i> = 0.23, <i>p</i> = 0.029), and originality scores (<i>τ</i> = 0.21, <i>p</i> = 0.04) showed low-to-moderate associations, indicating preliminary support for convergent validity, although further refinement is needed to strengthen these relationships. Additionally, the BIG demonstrates strong internal consistency (Cronbach's alpha = 0.83 for both fluency and originality) and moderate test-retest reliability (ICC for fluency = 0.67, for originality = 0.74). These findings suggest that BIG is a promising and developmentally appropriate tool for assessing divergent thinking in Chinese preschoolers, offering a foundation for future work on early creative thinking in China.

Journal of IntelligenceVol. 13(7)
Southwest University (CN), Hainan Normal University (CN), Chongqing University (CN)
Chongqing Municipal Education Commission, Centre Scientifique et Technique du Bâtiment, Fundamental Research Funds for the Central Universities
Quality Education
Openalex Percentile: Top 85%
Creativity in Education and Neuroscience
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.