Department of Psychology, University of Kaiserslautern-Landau, Landau, Germany.
Institute for Child and Youth Education, University of Kaiserslautern-Landau, Landau, Germany.
PLoS One. 2024 Aug 29;19(8):e0309718. doi: 10.1371/journal.pone.0309718. eCollection 2024.
Problem-solving is an important skill that is associated with reasoning abilities, action control and academic success. Nevertheless, empirical evidence on cognitive correlates of problem-solving performance in childhood is limited. Appropriate assessment tools are scarce and existing analog tasks require extensive coding. Thus, we developed and validated new tablet-based versions of existing analog tasks assessing technical problem-solving with gear construction tasks. To validate these tasks, 215 children (6-8 years) performed the problem-solving tasks in both modalities (analog, digital). To investigate whether performances in both modalities were correlated with other cognitive abilities, participants performed three additional tasks assessing language, reasoning and problem-solving. Structural equation modelling showed that performance was substantially correlated across modalities and also correlated with language, reasoning and another problem-solving task, showing the convergent validity of the digital tasks. We also found scalar measurement invariance across task modalities indicating that both task versions can be used interchangeably. We conclude that both versions (analog and digital) draw on similar cognitive resources and abilities. The analog tasks were thus successfully transferred to a digital platform. The new tasks offer the immense benefits of digital data collection, provide a valid measuring tool advancing problem-solving research in childhood and facilitate the application in the field, e.g., in the classroom.
问题解决是一种重要的技能,与推理能力、行动控制和学业成功有关。然而,关于儿童问题解决表现的认知相关性的实证证据有限。合适的评估工具稀缺,现有的模拟任务需要广泛的编码。因此,我们开发并验证了现有模拟任务的新基于平板电脑的版本,这些任务使用齿轮结构任务评估技术问题解决。为了验证这些任务,215 名儿童(6-8 岁)在两种模式(模拟、数字)下完成了问题解决任务。为了研究两种模式下的表现是否与其他认知能力相关,参与者还完成了另外三个评估语言、推理和问题解决的任务。结构方程模型表明,表现模式之间存在实质性相关性,与语言、推理和另一个问题解决任务也存在相关性,表明数字任务具有收敛效度。我们还发现任务模式之间存在标量测量不变性,表明两种任务版本可以互换使用。我们的结论是,两种版本(模拟和数字)都依赖于相似的认知资源和能力。因此,模拟任务成功地转移到了数字平台上。新任务提供了数字数据收集的巨大优势,为儿童问题解决研究提供了有效的测量工具,并促进了该领域的应用,例如在课堂上。