Technology-Enhanced Learning of Disciplinary Practices (TELeaD) Learning in a discipline requires a deep understanding of not only the content but also the authentic practices specific to that discipline. Learners need to develop skills and abilities specific to a domain to know how the knowledge in that field is structured and produced. Understanding of disciplinary practices.
EDA - Educational Data Analytics. In EDA the primary goal is to understand the learning process while the learning is interaction with learning environments by collecting and analyzing data from multiple channels like clickstream, eye-tracker, facial expressions, EEG, and GSR. We use multimodal data to model the learner's behavior and to provide adaptive instructions.
In EmergE research, our researchers follow the latest technology and have close look at the related affordances and properties. We try to address certain learning/teaching problems with help of technological affordances, pedagogical strategies, and activities.
Generally, we work on two identified streams: Screen- HMD based technology and physical computing-based technology. This research has helped us in developing a number of systems and applications to address certain learning/teaching problems.