Dr. Xinran Zhu

Assistant Professor

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Biography

Xinran Zhu is an Assistant Professor in the Department of Education Policy, Organization, and Leadership at the University of Illinois, Urbana-Champaign. She specializes in Learning Design and Leadership with a focus on instructional design, technology, and organization. Zhu earned her Ph.D. in Learning Sciences and Technologies from the University of Pennsylvania, following her graduate studies in learning technologies and learning analytics at the University of Minnesota. Her research interests encompass the intersection of learning sciences, learning analytics, and artificial intelligence in education. Zhu's work emphasizes the design of technology-supported learning environments that are both theoretically grounded and pedagogically meaningful. She employs methodologies from media design, software engineering, and data science to develop pedagogical approaches and technological innovations aimed at enhancing meaningful learning experiences in authentic classroom settings. Dr. Zhu's research includes the design and implementation of educational technologies and the application of learning analytics to support effective learning experiences. She teaches various courses within her areas of expertise, guiding students in the integration of advanced learning technologies into educational practices.

Research Interests

Courses

Learning Technologies Advanced Learning Technologies Ubiquitous Learning Design Development of eLearning Systems

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.