Fatemeh Salehian Kia
Research Area
About
Fatemeh Salehian Kia is a researcher in learning analytics, human-computer interaction, and educational technology. Her work explores learner engagement with educational technologies, focusing on quantifying learning contexts and understanding how students interact with information. She employs diverse methods, including experimental approaches, to examine factors influencing learning, such as individual attributes, environments, and contextual elements.
With a background in computer science, design, and cognition, she integrates data science, learning science, and human-computer interaction to develop computational models and innovative learning technologies. She has contributed to major learning analytics projects, including OnTask, which provides personalized feedback to instructors, and My Learning Analytics (MyLA), a student-facing dashboard that supports self-regulated learning. At UBC, her research focuses on understanding learning processes in digital environments and leveraging computational methods to identify and address ineffective learning behaviors at scale.
Teaching
Courses I have taught in the past or currently teach include:
- LIBR 559C Python Programming
- LIBR 554/ARST 554 Database Design
- LIBR 552 Human-Centered AI
Research
- Learning Analytics
- AI in Education
- Human-Centred Design