About
I am on the job market, seeking an Assistant Professor or Research Scientist position.
I am a Ph.D. candidate in the EPET program at Michigan State University. I received my bachelor’s degree in Educational Management and a master’s degree in Educational Assessment and Evaluation from Beijing Normal University.
My research focuses on the social-emotional dimensions of feedback, particularly in student-teacher relationships and motivation, as well as advanced methodologies for measuring engagement through data mining, experience sampling method, and video analysis. Additionally, I explore AI-facilitated assessment and evaluation to enhance educational practices.
In my teaching, I specialize in educational psychology theory and quantitative methodology.
Curriculum Vitae
Link to my Curriculum Vitae (last update: Dec 25 2024)
Education
Ph.D. student of Education Psychology and Education Technology Program
08/2023 - present
Michigan State University, East Lansing, MI
Dessertation Topic: "Designing AI-Facilitated Feedback Using Feedback Triangle Theory: Examining Teacher Implementation and Its Impact on Student Perceptions."
Ph.D. student of Learning Technology Program
08/2021 - 08/2023
The Ohio State University, Columbus, OH
Selected Courses: Advanced Structural Equation Modeling, Applied Multilevel Data Analysis, R for Data Science, Instruction Design, Classroom Research Motivation, Theories of Learning with Technologies.
Master of Education Assessment & Evaluation
09/2018 - 06/2021
Beijing Normal University, Beijing, China
GPA: 3.80/4.0 Rank: 3/24
Selected Courses: Regression Analysis, Multivariate Statistics, Hierarchical Linear Modeling, Advanced Item Response Theory, Advances in International Education Quality Assessment, Information Technology in Education Assessment.
Thesis topic: The impact of affective support feedback on students’ autonomous inquiry learning
Bachelor of Education Management
09/2014 - 06/2018
Beijing Normal University, Beijing, China
GPA: 3.81/4.0 Rank: 2/34
Selected courses: Research Methods in Education, Introduction to Psychology, Developmental Psychology, Theory of School Management, Curriculum Theory, Education Management and Evaluation.
Thesis topic: An empirical study on teaching autonomy support of elementary school teachers in Beijing
Professional Experience
Instructor for TE150 (Reflections on Learning)
01/2024 - present
Michigan State University, East Lansing, MI
- Contributed to course instruction by grading assignments and providing detailed, constructive feedback to enhance student learning.
- Incorporated AI tools to support teaching and streamline feedback processes, aligning with constructivist learning principles to foster student engagement.
Statistic Consultant
08/2022 - 08/2023
Quantitative Methodology Center, Columbus, OH
- Provided quantitative methodology consultation to faculty and students in EHE department.
- Provided series workshops on group mean comparison methods.
Curriculum Evaluation Researcher
03/2021 - 07/2021
TAL Education Group, Beijing, China
- Assessed the effectiveness and quality of existing educational materials.
Research Assistant at Moonshot Academy
01/2020 - 07/2020
Education Ecosystem Evolution Academy, Beijing, China
- Participated in the research work of building standards for future teachers in China, including literature review, teacher interview, writing the content of the standard and translation work, for the purpose of developing competency-based education in Chinese schools.
National Education Assessement Intern
08/2019 - 09/2019
Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing, China
- Big data processing. Data cleaning and analysis of the National Basic Education Quality Assessment in 2019.
Skill
I possess a wide range of data analysis skills and expertise that can be applied to various research projects. I am skilled in using statistical software programs such as SPSS, STATA, R, Mplus, and Python. I am proficient in conducting various statistical analyses, including regression analysis, factor analysis, structural equation modeling, multilevel modeling, and cluster analysis.