My research is dedicated to understanding and supporting learners in technology-enhanced environments. I focus on how we can use data and AI to help students take control of their education, making informed decisions that lead to success.
I believe in bridging the gap between what technology makes possible and what students need to become self-regulated learners. My work explores the crucial moment when learners interact with digital information—from adaptive learning systems to learning analytics dashboards—and how that interaction shapes their learning process.
My work connects theory and practice from educational technology, instructional design, data science, learning science, and cognitive science. I use a variety of research methods to gain a deep understanding of the learning journey. My recent projects have involved:
Understanding Interaction: To understand students' cognitive and social presences in online learning and how these change over time, I use social network analysis, epistemic network analysis, and text mining techniques.
Computational Thinking: I use computational thinking as a problem-solving approach for undergraduate students who do not have a computational background but are learning block-based programming (e.g., Scratch). My research compares different student groups to better understand the development of their problem-solving skills.
Analyzing Learning Pathways: I use mixed methods, including behavioral data, surveys, and interviews, to understand the decision-making processes of students in various advanced learning environments.
Sequencing Learning: In collaboration with leading scholars like Dr. Dirk Ifenthaler, I am using sequence analysis to understand how students engage with course content and to develop new ways to support their interaction.
Knowledge Development: I am leading research that examines how students' knowledge structures evolve as they read multiple texts and participate in debates.
My ultimate goal is to apply my expertise to analyze more complex datasets within current educational systems and help improve students' learning experience by fostering their agency in online and blended learning contexts.
I am always open to new collaborations and projects. Please feel free to contact me to learn more about my work or to discuss potential partnerships.
Ph.D. (2021) Learning, Design, and Technology. Department of Learning and Performance Systems. College of Education. Penn State University, University Park, PA
M.Ed. (2014) Learning, Design, and Technology. Department of Learning and Performance Systems. College of Education. Penn State University, University Park, PA
B.S.(2002) Computer Science Education (Minor: Education). Department of Education. College of Education. Silla University, Busan, Korea