Video Data Collection and Video Analyses in CSCL Research
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Authors
Author (Corporation)
Publication date
04.2021
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Course of study
Type
04A - Book part
Editors
Cress, Ulrike
Rosé, Carolyn
Wise, Alyssa Friend
Oshima, Jun
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Parent work
International Handbook of Computer-Supported Collaborative Learning
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Computer-Supported Collaborative Learning Series
Series number
19
Volume
Issue / Number
Pages / Duration
643–660
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Publisher / Publishing institution
Springer
Place of publication / Event location
Basel
Edition
1
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Abstract
The purpose of this chapter is to examine significant advances in the collection and analysis of video data in Computer Supported Collaborative Learning (CSCL) research. We demonstrate how video-based studies create robust and dynamic research processes. The chapter starts with an overview of how video analysis developed within CSCL by way of its pioneering roots. Linked throughout the chapter are the theoretical, methodological, and technological advances that keep advancing CSCL research. Specific empirical and experimental research examples will illustrate current and future advances in data collection, transformation, coding, and analysis. Research benefits and challenges that include the current state of understanding from observations of single, multiple, or 360° camera recordings will also be featured. In addition, eye-tracking and virtual reality environments for collecting and analyzing video data are discussed as they become new foci for future CSCL research.
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Preprint in printing
Review
Peer review of the complete publication
Open access category
Closed
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Citation
Zahn, C., Ruf, A., & Goldman, R. (2021). Video Data Collection and Video Analyses in CSCL Research. In U. Cress, C. Rosé, A. F. Wise, & J. Oshima (eds.), International Handbook of Computer-Supported Collaborative Learning (1 ed., pp. 643–660). Springer. https://doi.org/10.1007/978-3-030-65291-3_35