He Ren

He Ren
University of Washington | UW · College of Education

About

3
Publications
467
Reads
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10
Citations
Introduction
I am committed to the development and improvement of quantitative educational measurement methods and am always excited by the potential contribution that accurate measurement can make to educational equity. My research interests focus on Multidimensional Item Response Theory (MIRT), Differential Item Functioning (DIF), Computerized Adaptive Testing (CAT), and the application of machine learning in psychometrics. When I’m not working, I like hiking and photography.
Additional affiliations
September 2019 - January 2020
Beijing Normal University
Position
  • Research Assistant
June 2019 - August 2019
Ministry of Education
Position
  • Research Assistant
Education
September 2019 - July 2022
Beijing Normal University
Field of study
  • Psychology
September 2015 - July 2019
Beijing Normal University
Field of study
  • Statistics

Publications

Publications (3)
Article
Full-text available
In response to the big data era trend, statistics has become an indispensable part of mathematics education in junior high school. In this study, a pre-test and a post-test were developed for the six attributes (sort, median, average, variance, weighted average, and mode) of the data distribution characteristic. This research then used the cognitiv...
Article
Full-text available
Computerized classification testing (CCT) commonly chooses items maximizing information at the cut score, which yields the most information for decision-making. However, a corollary problem is that all examinees will be given the same set of items, resulting in high test overlap rate and unbalanced item bank usage, which threatens test security. Mo...

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