Learners’ Linguistic Alignment and Physiological Synchrony

Joni Lämsä, Justin Edwards, Eetu Haataja, Márta Sobocinski, Paola R. Peña, Andy Nguyen, Sanna Järvelä
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Abstract

The theory of socially shared regulation of learning (SSRL) suggests that successful collaborative groups can identify and respond to trigger events stemming from cognitive or emotional obstacles in learning. Thus, to develop real-time support for SSRL, novel metrics are needed to identify different types of trigger events that invite SSRL. Our aim was to apply two metrics derived from different data streams to study how trigger events for SSRL shaped group linguistic alignment (based on audio data) and physiological synchrony (based on electrodermal activity data). The data came from six groups of students (N = 18) as they worked face-to-face on a collaborative learning task with one cognitive and two emotional trigger events. We found that the cognitive trigger event increased linguistic alignment in task-description words and led to physiological out-of-synchrony. The emotional trigger events decreased out-of-synchrony and increased high-arousal synchrony at the physiological level but did not affect linguistic alignment. Therefore, different metrics for studying markers and responses to different types of trigger events are needed, suggesting the necessity for multimodal learning analytics to support collaborative learning.
学习者的语言一致性和生理同步性
社会共享学习调控(SSRL)理论认为,成功的协作小组能够识别和应对由学习中的认知或情感障碍引发的触发事件。因此,要开发对 SSRL 的实时支持,就需要有新的指标来识别引发 SSRL 的不同类型的触发事件。我们的目的是应用从不同数据流中提取的两个指标,研究 SSRL 的触发事件如何影响群体语言一致性(基于音频数据)和生理同步性(基于电皮活动数据)。这些数据来自六组学生(N = 18),他们面对面完成一项协作学习任务,其中有一个认知触发事件和两个情感触发事件。我们发现,认知触发事件增加了任务描述词的语言一致性,并导致生理不同步。情绪触发事件在生理水平上减少了不同步现象,增加了高动情同步,但并不影响语言的一致性。因此,需要采用不同的指标来研究不同类型触发事件的标记和反应,这表明有必要采用多模态学习分析来支持协作学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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