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Progression of Cognitive-Affective States During Learning in Kindergarteners: Bringing Together Physiological, Observational and Performance Data

机译:在幼儿园学习期间的认知情感状态的进展:带来生理,观测和性能数据

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It has been shown that combining data from multiple sources, such as observations, self-reports, and performance with physiological markers offers better insights into cognitive-affective states during the learning process. Through a study with 12 kindergarteners, we explore the role of utilizing insights from multiple data sources, as a potential arsenal to supplement and complement existing assessments methods in understanding cognitive-affective states across two main pedagogical approaches—constructionist and instructionist—as children explored learning a chosen Science, Technology, Engineering and Mathematics (STEM) concept. We present the trends that emerged across pedagogies from different data sources and illustrate the potential value of additional data channels through case illustrations. We also offer several recommendations for such studies, particularly when collecting physiological data, and summarize key challenges that provide potential avenues for future work.
机译:已经表明,将来自多种来源的数据组合,例如观察,自我报告和生理标志性的性能,在学习过程中对认知情感状态提供更好的见解。通过研究12名幼儿园,我们探讨利用多个数据来源的见解的作用,作为补充和补充现有评估的潜在的武器,以了解在两个主要教学方法 - 建构主义和义务中的教学中的认知情感状态 - 作为儿童探索学习选择的科学,技术,工程和数学(Stew)概念。我们介绍了来自不同数据源的教学中出现的趋势,并通过案例图示说明了附加数据通道的潜在值。我们还为此类研究提供了若干建议,特别是在收集生理数据时,总结为未来工作提供潜在途径的关键挑战。

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