Ying Cui

Research

EDPY 500 - Introduction to Data Analysis in Educational Research

May contain alternative delivery sections; refer to the Tuition and Fees page in the University Regulations section of the Calendar.

EDPY 502 - Educational Data Mining

The purpose of this course is to present students with a variety of educational data mining techniques, with an emphasis on conceptual understanding and applications. Students will also learn how to implement these techniques with statistical software such as R or Python. This course is open to graduate students across the campus, with priority given to the Faculty of Education graduate students.

EDPY 505 - Quantitative Methods I

This course will focus on the analysis of data from experiments and surveys using the analysis of variance. Students will develop knowledge of and skills in understanding the underlying statistical models, matching statistical models to research designs, using computer software to conduct appropriate statistical analyses, and interpreting and reporting findings.

Browse more courses taught by Ying Cui

Yousefpoori-Naeim, M., He, S., Cui, Y., & Cutumisu, M.

International Review of Education. 2024 July; 70 10.1007/s11159-023-10061-7

He, S., Epp, C. D., Chen, Fu., & Cui, Y.

Computers in Human Behavior. 2024 July; 152 10.1016/j.chb.2023.108061