Using Physiological Synchrony as an Indicator of Collaboration Quality, Task Performance and Learning. - Yong Dich; Joseph M. Reilly; Bertrand Schneider (AIED (1), 2018)

Exploring Collaboration Using Motion Sensors and Multi-Modal Learning Analytics. - Joseph M. Reilly; Milan Ravenell; Bertrand Schneider (EDM, 2018)

Toward Using Multi-Modal Learning Analytics to Support and Measure Collaboration in Co-Located Dyads. - Emma L. Starr; Joseph M. Reilly; Bertrand Schneider (ICLS, 2018)

Augmenting Qualitative Analyses of Collaborative Learning Groups Through Multi-Modal Sensing. - Bin Xie; Joseph M. Reilly; Yong Dich; Bertrand Schneider (ICLS, 2018)

EcoMOD: Integrating Computational Thinking into Ecosystems Science Education via Modeling in Immersive Virtual Worlds (Abstract Only). - Amanda Dickes; Shari Metcalf; Amy Kamarainen; Joseph M. Reilly; Karen Brennan; Tina A. Grotzer; Chris Dede (SIGCSE, 2018)

Supports for deeper learning of inquiry-based ecosystem science in virtual environments - Comparing virtual and physical concept mapping. - Shari J. Metcalf; Joseph M. Reilly; Amy M. Kamarainen; Jeffrey King; Tina A. Grotzer; Chris Dede (Comput. Hum. Behav., 2018)

Exploring Stealth Assessment via Deep Learning in an Open-Ended Virtual Environment. - Joseph M. Reilly; Chris Dede (EDM, 2019)

Predicting the Quality of Collaborative Problem Solving Through Linguistic Analysis of Discourse. - Joseph M. Reilly; Bertrand Schneider (EDM, 2019)

Differences in Student Trajectories via Filtered Time Series Analysis in an Immersive Virtual World. - Joseph M. Reilly; Chris Dede (LAK, 2019)

Assessing computational thinking through the lenses of functionality and computational fluency. - Shari J. Metcalf; Joseph M. Reilly; Soobin Jeon; Annie Wang; Allyson Pyers; Karen Brennan; Chris Dede (Comput. Sci. Educ., 2021)

Details Matter: How Contrasting Design Features in Two MUVEs Impact Learning Outcomes. - Emily A. Gonzalez; Tina A. Grotzer; Eileen McGivney; Joseph M. Reilly (Technol. Knowl. Learn., 2022)