Zahn, CarmenRuf, AlessiaGoldman, RickiCress, UlrikeRosé, CarolynWise, Alyssa FriendOshima, Jun2021-01-042021-01-042021-0410.1007/978-3-030-65291-3_35https://irf.fhnw.ch/handle/11654/31933https://doi.org/10.26041/fhnw-3592The 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.en-US04A - Beitrag Sammelband643–660