TRU-CRAFT
TRU-CRAFT (Creating Resources with Adaptive Feedback Tools) is an instructor-facing platform that empowers educators to design data-informed learning experiences. The system bridges the gap between learning analytics research and practical classroom application.
Key Features
- Intelligent Content Authoring: Tools for creating adaptive quizzes and learning materials
- Learning Analytics Dashboard: Visualize student progress and engagement patterns
- Data-Informed Design: Recommendations based on learning science and historical data
- Integration Ready: Works with existing LMS and educational technology stacks
Impact
TRU-CRAFT helps instructors make evidence-based decisions about course design, enabling personalized learning at scale without requiring extensive technical expertise.
I am a tenure-track Assistant Professor in the Computer Science department at Thompson Rivers University. My research centers on the impact of generative AI on the learning behavior and outcome in computer science education. Before joining TRU, I was a Postdoctoral Fellow at the UBC Master of Data Science, where I developed and taught a variety of data science courses, including those on statistical inference, machine learning, and technical communication. In addition to teaching, I coordinated the capstone program, facilitating student collaborations with industry partners on real-world data science projects.
Prior to UBC, I worked as a Postdoctoral Fellow in Learning Analytics at the School of Information, University of Michigan. My research focuses on analyzing students social interactions and peer effects from spatio-temporal large scale data. My work has been recognized with competitive grants, and multiple best paper awards at prominent conferences, including LAK18 and HCI International 17.
I hold a PhD in Learning Analytics at The Open University UK, a BSc and MSc in Economics from Maastricht University, Netherlands.