My research lies at the intersection of computer science, learning sciences and educational/cognitive psychology, particularly in the design of novel (and effective) learning technologies for learning and assessment for K-12 students studying mathematics.
Part of my research involves the use of computational approaches (such as educational data mining) for the design of effective intelligent tutoring systems that automatically assess students' math skills, affective states and metacognitive states, respond to students on the spot, and report strengths, weaknesses and socio-emotional states to the teacher --in real time, as students are working on computers or mobile devices.
Another part of my research focuses on the creation of augmented reality learning environments involving wearable learning and computational thinking. This involves the use of mobile electronic devices for students to design, develop and play multiplayer physically active and embodied math games.
