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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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The aim of this paper is to introduce our current research design to study socially shared regulation processes in a science classroom where a collaborative learning design is implemented. The design is based on a self-regulated learning framework that provides opportunities and support for self-initiated regulation among individual learners and collaborative groups. It utilizes modern technology to structure and support regulated learning in the groups. The paper focuses on elaborating the research design, particularly from the perspective of motivation and emotion, by presenting the dual relationship between designing learning scenario that supports learners' motivation and emotion regulation with technology and researching the multifaceted role of motivation and emotion as they occur in collaborative learning. To do this, the paper first describes the entire collaborative learning design while paying attention to how technology can be utilized to support the awareness of motivation, emotion, and their regulation. Then, the focus shifts to considering the methodological principles and implementation of multimodal data gathered in relation to authentic collaborative learning tasks. A case example from a secondary school science classroom demonstrates possibilities for multimodal data use in analyzing motivation, emotion, and their regulation in collaborative learning. It also illustrates the dual role of the implemented technological 6Q support tool by showing how data collected from the students' use of the tool can be utilized in scientific analysis. The paper concludes by providing a short discussion about the current advancements of emerging technology in motivation and emotion research in the learning sciences highlighting the significance of sharing the theoretical premises of the research design as well as practical experiences from implementation of these designs for future research.

During collaborative learning, affect is constantly present in groups’ interactions, influencing and shaping the learning process. The aim of this study was to understand what type of learning situations trigger affective states in collaborative groups, and how these affective states are related to group members’ physiological activation. The participants were 12-year-old primary school students (N = 31, 10 groups) performing a collaborative science task. In the analysis, video data observations were combined with data of group members’ physiological activation. The groups’ situational valence was identified based on the group members’ observed emotional expressions and their physiological activation levels were measured with electrodermal activity (EDA). Results revealed that situations with group members’ simultaneous physiological activation were rare compared with the observable emotional expressions. However, when group members indicated physiological activation simultaneously, they also showed visible emotional expressions more often than in deactivating situations. Moreover, the results showed that socially-related factors were more likely to trigger physiological activation with a mixed group level valence. In turn, task-related factors were more likely to trigger physiological activation with a neutral group level valence. The results of this study imply that by combining different process data modalities revealing the different components of affect, it might be possible to track emotionally meaningful situations that shape the course of the collaborative learning process.