Monitoring in collaborative learning: Co-occurrence of observed behavior and physiological synchrony explored

Haataja, Eetu; Malmberg, Jonna; Järvelä, Sanna

doi:10.1016/j.chb.2018.06.007

Cited by 73 publications

(71 citation statements)

References 68 publications

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“…However, previous educational studies have shown that students have difficulties effectively planning, monitoring and adapting to collaborative efforts . Recent studies have also shown that students’ own socioemotional processes together with interactive self‐, co‐ and shared‐regulation play important roles in successful collaboration , and that both ‘scripting’ and ‘group awareness tools’ can facilitate collaboration .…”

Section: Introductionmentioning

confidence: 99%

Digital collaborative learning in nursing education: a systematic review

Männistö

Mikkonen

Kuivila

et al. 2019

Scandinavian Caring Sciences

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Section: Introductionmentioning

confidence: 99%

Digital collaborative learning in nursing education: a systematic review

Männistö

Mikkonen

Kuivila

et al. 2019

Scandinavian Caring Sciences

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“…Physiological measures have also been used to complement video and log data to filter, organise and classify data into meaningful episodes according to the criteria derived from the theoretical justification and research focus (Appelhans & Luecken, 2006;McRae et al 2012). In relation to the regulation processes in collaborative learning, Haataja, Malmberg, and Järvelä (2018) studied physiological concordance (PC) of group members' electrodermal activity and observed regulation episodes, and found a weak positive connection between them. How to relate individual physiological reactions to the regulation of emotion or motivation during collaborative learning, however, is still to be explored.…”

Section: Claim: Motivation and Emotion Regulation Is Intertwined Withmentioning

confidence: 99%

“…In the future, we need to explore whether some of these episodes would be better tracked by using some other features of motivation, emotions or physiological data. From the EDA data, moments of physiological concordance (PC), for example, could be explored in relation to the video coding (see e.g., Haataja, et al, 2018).…”

Section: Claim: Motivation and Emotion Regulation Is Intertwined Withmentioning

confidence: 99%

Capturing motivation and emotion regulation during a learning process

Järvenoja

Järvelä

Törmänen

et al. 2018

FLR

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This paper describes our research approach in which we have focused on situational and contextual variations in motivation and emotion regulation to better understand its role, appearance and function in collaborative learning situations. We have used research designs that employ process-oriented measures combined with subjective interpretations to capture motivation and emotion regulation. Analysing on-line process data poses several challenges such as variation in the granularity of different data sources, problems that emerge due to the complexity of contextual and situational factors in ecologically-valid learning situations or, currently, challenges in the use of multiple data channels and their analyses.In this paper, we present three claims underlying our research, particularly the motivation and emotions and their regulation in learning. The claims are as follows: (1) motivation and emotion regulation is situation and context specific, (2) motivation and emotion regulation is influenced by multi-layered nature of motivation and (3) Motivation and emotion regulation is intertwined with other processes of learning and can be captured from their temporal manifestation. We present an example from our empirical study to discuss how these claims have led us to employ multiple process-oriented methods that include both subjective and objective data sources, including different combinations of situation-specific self-reports, video and physiological data. We then describe opportunities and challenges involved in the empirical studies.

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“…Thus, the study of the effect of conversation behavior on the sound environment is also very important. In previous behavioral research, the methods of investigation were classified as self-report measures and naturalistic observations [47,48]. In effect, the evidence showed that self-reports failed to provide an objective account of observed behavior, instead producing data reflective of respondents' subjective interpretations of reality [49].…”

Section: Conversation Behavior Measurementmentioning

confidence: 99%

Influence of Contextual Factors on Soundscape in Urban Open Spaces

et al. 2018

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The acoustic environment in urban open spaces has played a key role for users. This study analyzed the different effects of contextual factors, including shop openness, season, and commercial function, on the soundscape in two typical commercial pedestrian streets. The following observations were based on a series of measurements, including crowd measurements, acoustic environment measurements, and a questionnaire survey. First, the number of talkers in Central Avenue was greater than the number of talkers in Kuan Alley in cases with the same crowd density, while there was no significant difference in the sound pressure level. When the crowd density increased, acoustic comfort trended downward in Kuan Alley, while the value of acoustic comfort in Central Avenue took a parabolic shape. Second, there was no significant difference between the number of talkers in summer and the number of talkers in winter; however, when crowd density increased by 0.1 persons/m2, the level of sound pressure increased by 1.3 dBA in winter and 2.2 dBA in summer. Acoustic comfort took a parabolic shape that first increased and then decreased in both winter and summer. Regarding commercial function, as the crowd density increased, the number of talkers and the level of sound pressure both increased, while acoustic comfort decreased in three zones with different commercial functions. In addition, a cross-tab analysis was used to discuss the relationship between the number of talkers and the level of sound pressure, and it was found to be positive.

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Monitoring in collaborative learning: Co-occurrence of observed behavior and physiological synchrony explored

Cited by 73 publications

References 68 publications

Digital collaborative learning in nursing education: a systematic review

Digital collaborative learning in nursing education: a systematic review

Capturing motivation and emotion regulation during a learning process

Influence of Contextual Factors on Soundscape in Urban Open Spaces

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