Ksenia Ionova is a doctoral student in Communication at Cornell University. She studies how people make sense of learning when the tools, modes, and contexts around them change. Drawing on her background in linguistics, education, and instructional design, she uses qualitative and quantitative methods, including learning analytics, to examine the processes through which learners navigate emerging learning environments, make decisions, regulate their learning, and interact with technologies such as virtual reality and generative AI.
Interests
Human-computer interaction, immersive learning, AI-mediated interaction, learning behavior and decision-making, learning analytics
