Researcher in Computer Science Education & Machine Learning
My primary research is driven by a deep interest in understanding the fundamental processes of how people teach and learn. By investigating the cognitive and pedagogical mechanisms that underpin human education, my overarching goal is to build machines that can teach and learn with the same adaptability, nuance, and effectiveness as human beings. This dual pursuit not only sheds light on human cognition but also paves the way for advanced, intelligent systems capable of transforming educational experiences.
To realize this vision, my work specifically focuses on the field of computer science education. I aim to translate these theoretical insights into practical, impactful solutions by fostering a better classroom environment. This involves designing and developing innovative educational tools that actively guide student learning, ultimately bridging the gap between human pedagogical strategies and machine-assisted education to create more supportive and effective learning spaces.
Details about specific research projects, tools developed for the classroom, and academic publications will be updated here.