Affective processes in collaborative learning contexts: Examining affordances and challenges of video and multi-channel data
Mänty, Kristiina; Pino-Pasternak, Deborah; Ahola, Sara; Jones, Cheryl (2023-11-28)
Avaa tiedosto
Sisältö avataan julkiseksi: 28.05.2025
Mänty, Kristiina
Pino-Pasternak, Deborah
Ahola, Sara
Jones, Cheryl
Routledge
28.11.2023
Mänty, K., Pino-Pasternak, D., Ahola, S., & Jones, C. (2023). Affective processes in collaborative learning contexts. In G. Hagenauer, R. Lazarides, & H. Järvenoja, Motivation and Emotion in Learning and Teaching across Educational Contexts (1st ed., pp. 228–243). Routledge. https://doi.org/10.4324/9781003303473-17
https://creativecommons.org/licenses/by-nc-nd/4.0/
This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in Motivation and Emotion in Learning and Teaching across Educational Contexts: Theoretical and Methodological Perspectives and Empirical Insights on 28 November 2023, available online: http://www.routledge.com/9781003303473. It is deposited under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
https://creativecommons.org/licenses/by-nc-nd/4.0/
This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in Motivation and Emotion in Learning and Teaching across Educational Contexts: Theoretical and Methodological Perspectives and Empirical Insights on 28 November 2023, available online: http://www.routledge.com/9781003303473. It is deposited under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
https://creativecommons.org/licenses/by-nc-nd/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202405023073
https://urn.fi/URN:NBN:fi:oulu-202405023073
Tiivistelmä
Abstract
The possibilities of using video to explore learning and interactions in context have grown significantly in recent decades. At the same time, the role of affect in collaborative learning has been increasingly recognised and examined. However, studies in this area have largely relied on self-reported data. When video data have been used, findings have been reported in the form of descriptive accounts of illustrative cases as a way of dealing with complex and large datasets. This chapter focuses on recent research developments in collaborative learning, stressing the value of video as a versatile data source in itself and when used in conjunction with other forms of data. It is argued that video captures the socially dynamic and evolving nature of affect in-context: Specifically, (a) the multi-level nature of affect, capturing individual, sub-group and whole-group displays of emotions; (b) the temporal ebbs and flows of affective processes; and (c) the specific affordances of observational data when combined with self-reported and physiological data. In conclusion, this chapter acknowledges the advances made so far in this field while alerting the reader to current challenges and future developments.
The possibilities of using video to explore learning and interactions in context have grown significantly in recent decades. At the same time, the role of affect in collaborative learning has been increasingly recognised and examined. However, studies in this area have largely relied on self-reported data. When video data have been used, findings have been reported in the form of descriptive accounts of illustrative cases as a way of dealing with complex and large datasets. This chapter focuses on recent research developments in collaborative learning, stressing the value of video as a versatile data source in itself and when used in conjunction with other forms of data. It is argued that video captures the socially dynamic and evolving nature of affect in-context: Specifically, (a) the multi-level nature of affect, capturing individual, sub-group and whole-group displays of emotions; (b) the temporal ebbs and flows of affective processes; and (c) the specific affordances of observational data when combined with self-reported and physiological data. In conclusion, this chapter acknowledges the advances made so far in this field while alerting the reader to current challenges and future developments.
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