College of Education

Embodied and Immersive Technologies (EmIT) Group

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The CEASAR project aims to understand the affordances of immersive augmented reality technologies for supporting collaborative learning in STEM classrooms. To support this investigation we have developed a robust night sky simulation that can be accessed from both tablet computers and HoloLens 2 headsets. Undergraduate students work together in a multi-device environment to solve problems such as finding the location of a fallen space capsule using only the view of the stars from the site of the crash. We have so far collected data from numerous classrooms at a partnering community college and a university. The multimodal data we have collected are helping us to understand how XR technologies can be effectively integrated into complex collaborative learning activities. This includes merging logfile data from the simulation with video of the collaborating students. Outcomes of the CEASAR project include design principles for creating effective multi-device STEM learning activities as well as methodological guidance for conducting research on technology-enhanced collaborative learning.

 

Team Members

 

Former Team Members

Publications

Planey, J., Lindgren, R., Kimball, N., Kim, T., Mercier, E., & Kang, J. (2022). Facilitating small-group problem solving in astronomy contexts through augmented reality [pdf]. Poster  presented at the Annual Meeting of the American Educational Research Association, San Diego, CA.

Zhou, Y., & Kang, J. (2022). Characterizing joint attention dynamics during collaborative problem-solving in an immersive astronomy simulation [pdf]Proceedings of the 15th International Conference on Educational Data Mining (EDM22), 406-413.  https://doi.org/10.5281/zenodo.6852988

Kim, T., Planey, J., Lindgren, R., & Kang, J. (2021). Integrating immersive technology into small group learning environments [pdf]Proceedings of the 15th International Conference of the Learning Sciences (ICLS 2021)1137-1138. Bochum, Germany.  https://repository.isls.org//handle/1/7436

Diederich, M., Kang, J., Kim, T., & Lindgren, R. (2021). Developing an in-application shared view metric to capture collaborative learning in a multi-platform astronomy simulation [pdf]. Proceedings of the 11th International Learning Analytics and Knowledge Conference (LAK21), 173–183.  https://doi.org/10.1145/3448139.3448156