Learners' Linguistic Alignment and Physiological Synchrony: Identifying Trigger Events That Invite Socially Shared Regulation of Learning

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Title: Learners' Linguistic Alignment and Physiological Synchrony: Identifying Trigger Events That Invite Socially Shared Regulation of Learning
Language: English
Authors: Joni Lämsä (ORCID 0000-0001-7995-4090), Justin Edwards (ORCID 0000-0003-1487-9207), Eetu Haataja (ORCID 0000-0001-8280-1546), Marta Sobocinski (ORCID 0000-0001-9591-9113), Paola R. Peña (ORCID 0000-0002-6371-8074), Andy Nguyen (ORCID 0000-0002-0759-9656), Sanna Järvelä (ORCID 0000-0001-6223-3668)
Source: Journal of Learning Analytics. 2024 11(2):197-214.
Availability: Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: https://learning-analytics.info/index.php/JLA/index
Peer Reviewed: Y
Page Count: 22
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Education Level: High Schools
Secondary Education
Descriptors: Cooperative Learning, Learning Analytics, Linguistics, Physiology, Emotional Response, High School Freshmen, Arousal Patterns
ISSN: 1929-7750
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.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1441252
Database: ERIC
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  Data: Learners' Linguistic Alignment and Physiological Synchrony: Identifying Trigger Events That Invite Socially Shared Regulation of Learning
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  Data: <searchLink fieldCode="AR" term="%22Joni+Lämsä%22">Joni Lämsä</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-7995-4090">0000-0001-7995-4090</externalLink>)<br /><searchLink fieldCode="AR" term="%22Justin+Edwards%22">Justin Edwards</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-1487-9207">0000-0003-1487-9207</externalLink>)<br /><searchLink fieldCode="AR" term="%22Eetu+Haataja%22">Eetu Haataja</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-8280-1546">0000-0001-8280-1546</externalLink>)<br /><searchLink fieldCode="AR" term="%22Marta+Sobocinski%22">Marta Sobocinski</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9591-9113">0000-0001-9591-9113</externalLink>)<br /><searchLink fieldCode="AR" term="%22Paola+R%2E+Peña%22">Paola R. Peña</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6371-8074">0000-0002-6371-8074</externalLink>)<br /><searchLink fieldCode="AR" term="%22Andy+Nguyen%22">Andy Nguyen</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-0759-9656">0000-0002-0759-9656</externalLink>)<br /><searchLink fieldCode="AR" term="%22Sanna+Järvelä%22">Sanna Järvelä</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-6223-3668">0000-0001-6223-3668</externalLink>)
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  Data: 1929-7750
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  Data: 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.
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        PageCount: 22
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      – SubjectFull: Cooperative Learning
        Type: general
      – SubjectFull: Learning Analytics
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      – SubjectFull: Linguistics
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      – SubjectFull: Arousal Patterns
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      – TitleFull: Learners' Linguistic Alignment and Physiological Synchrony: Identifying Trigger Events That Invite Socially Shared Regulation of Learning
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