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揭示风险概况:对21世纪技能、变革阻力和认知灵活性的潜在概况分析

Unveiling Risk Profiles: A Latent Profile Analysis of 21st-Century Skills, Resistance to Change, and Cognitive Flexibility.

作者信息

Uras Muhammed Celal, Kaya Suat, Kaya Alican, Yildirim Murat

机构信息

Department of Mathematics Education, Faculty of Education, Agri Ibrahim Cecen University, Ağrı, Turkey.

Educational Sciences, Faculty of Education, Agri Ibrahim Cecen University, Ağrı, Turkey.

出版信息

Brain Behav. 2025 Jan;15(1):e70167. doi: 10.1002/brb3.70167.

Abstract

OBJECTIVES

Limited research utilized a person-centered approach in examining 21st-century skills. This study used latent profile analysis to explore the relationships between resistance to change, cognitive flexibility, and 21st-century skills, including creativity, cooperativity, critical thinking, communication, and problem-solving.

MATERIALS AND METHODS

A convenience sampling approach was used to recruit 502 individuals (342 females; mean = 21.12 ± 2.34 years) via an online survey.

RESULTS

The results showed that creativity, cooperativity, critical thinking, communication, problem-solving, and resistance to change were determined as profile indicators. The cognitive flexibility of the subclasses was also predicted. Furthermore, the results revealed four distinct profiles: (i) average level across all skills (5.8%); (ii) low risk for most skills, moderate for cooperativity (18.1%); (iii) high risk for all skills (55.2%); and (iv) moderate risk for most skills, moderate for cooperativity (20.9%).

CONCLUSIONS

The study highlights the importance of cognitive flexibility in identifying risk profiles. Using mixture modeling provides a fresh perspective for researchers, potentially aiding in targeted interventions for at-risk university students to enhance their 21st-century skills.

摘要

目的

在研究21世纪技能时,采用以人为本方法的研究有限。本研究使用潜在剖面分析来探索变革阻力、认知灵活性与21世纪技能(包括创造力、合作性、批判性思维、沟通和解决问题能力)之间的关系。

材料与方法

采用便利抽样法,通过在线调查招募了502名个体(342名女性;平均年龄=21.12±2.34岁)。

结果

结果表明,创造力、合作性、批判性思维、沟通、解决问题能力和变革阻力被确定为剖面指标。还预测了各亚组的认知灵活性。此外,结果揭示了四种不同的剖面:(i)所有技能处于平均水平(5.8%);(ii)大多数技能风险低,合作性中等(18.1%);(iii)所有技能风险高(55.2%);(iv)大多数技能风险中等,合作性中等(20.9%)。

结论

该研究强调了认知灵活性在识别风险剖面中的重要性。使用混合建模为研究人员提供了一个新视角,可能有助于针对有风险的大学生进行有针对性的干预,以提高他们的21世纪技能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00f9/11706717/b29b6f983dc6/BRB3-15-e70167-g002.jpg

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