Ji Hyun Yu

Ji Hyun Yu is an Assistant Professor at the University of North Texas, focusing on Learning Design, Learning Analytics, Online Education, and AI in Education. Their research explores the integration of emerging technologies in educational systems, institutional policies around AI adoption, and data-driven approaches to improve learning outcomes.

Education:

• Ph.D. in Learning Design and Technology, Purdue University (2013)
• M.A. in Educational Technology, Ewha Womans University (2003)
• B.A. in Education (Specialization: Educational Technology), Ewha Womans University (2000)

Research Interests:

• Generative AI in educational policy and practice
• Predictive analytics for learner profiling and performance prediction
• MOOCs design and personalized learning systems
• Professional identity development in instructional designers
• DEI (diversity, equity, inclusion) in learning experience design

Publications reveal a focus on applying data science methods to educational challenges, with recent work emphasizing generative AI's institutional impacts and AI-driven learning analytics. Earlier research includes studies on task difficulty modeling in simulations and attitudinal learning in MOOC environments.

Advising/Grants: No advisees listed, though publications suggest involvement in collaborative research initiatives. No grants explicitly mentioned in the provided text.

Labs/Teams: No specific lab affiliations listed, but research collaborations include work with international partners on cross-cultural learning initiatives.