Research

Identifying metacognitive processes in an OELE (PhD)

Identifying cognitive and metacognitive processes in SRL automatically using computer generated trace data, while learner is interacting with a complex problem solving OELE, such as MEttLE

Fine-grained behaviour analysis in virtual reality

To explore how various features of VR affect learning using fine-grained data. We collect learners' interaction using screen-recordings and manually annotate various actions.

GeoSolvAR: An AR-based  app for mental rotation

Learning activities in GeoSolvAR are based on the theoretical foundations of POE strategy to teach concepts of 3D views. The activities are facilitated using AR to view 3D models.

Churn prediction in language learning application

Explore the interaction behaviour of 700 learners of an English language learning app called Hello English to early predict the churn behaviour using ML models and explore gender differences

Multimodal framework in an OELE

Proposed multimodal framework for aligning learners’ eye gaze, affective states and log data based on time in an OELE. We have demonstrated a few cases of how this framework could be used to gain deeper inferences

Divergent & convergent thinking skills (M.Tech)

The tool allows learner to solve an open ended problem in the domain of data-structures. The intervention is designed to steer divergent and convergent thinking skills.