My current research has concentrated on individual learning control and decision-making processes to empower students to be autonomous learners given data-driven learning support in technology-enhanced learning environments. I especially focus on the conflicts between a technological approach where it brings degrees of freedom to learners in terms of the learning process and a pedagogical approach where learners need to be more self-regulated to be successful by making better choices and facilitating their learning strategies. Understanding how individuals control their learning and interact with information connecting theories and practices from various disciplines such as data science, learning science, and cognitive science, is imperative at the early stage of implementation of learning technology (e.g., adaptive learning, learning analytics) in higher education. I employ the lens of self-regulated learning that is grounded on information process theory to explain how the information on the learning analytics dashboard as external feedback is facilitated by learners. I utilize multiple research methods for an in-depth understanding of learners’ regulation and interaction with their learning information. For my most recent work on learner’s learning sequences in adaptive learning to understand learners’ decision making and interaction with learning information, I collected student’s behavior traces, surveys, and two time-point interviews and analyzed them through a mixed method. I have also actively collaborated with scholars in my field for academic presentations and journal publications. By collaborating with scholars such as Dr. Dirk Ifenthaler at the University of Mannheim, who is a leading scholar in the field of learning analytics, I currently, lead research with sequence analysis to support students’ interaction with the course content converging with qualitative reflexive thematic analysis. I am also currently leading research on how students’ structural knowledge changes through reading multiple texts and synchronous debate activities. I believe my research on learner's decision-making process given dynamically informed recommendations and learning process can complement your teaching and research of information utilization and decision making in organizations and communities connecting theories to practices. I would also like to utilize my extensive knowledge across mixed research approaches to conducting interdisciplinary studies about diversity, equity, and inclusion in online and blended learning contexts.
If you would like to learn more about my previous and current projects, please look at my project page.
Please contact me if you would like to learn more about my projects or collaborate with me!
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