His research interests are learning analytics and learning sciences especially using data to enhance learning, assessment, and collaboration. The key idea behind his work is to draw insights from rich learning theory models and pair them with computational models that automatically capture the essence of what is happening in a learning situation for achieving impact on learning. He is pursuing this research program in multiple parallel contexts including computer supported collaborative learning (CSCL), game-based learning, social media, and massive open online courses (MOOCs). His research findings have appeared in Computers and Education, Educational Technology Research and Development, Computers in Human Behavior, ACM Learning Analytics, and Knowledge, and other decent journals.