معرفی
Cengiz Zopluoglu is an Associate Professor in the Department of Special Education and Clinical Sciences at the University of Oregon's College of Education. His research focuses on quantitative methods in education, item response theory, computational psychometrics, and educational data science. He teaches advanced courses on psychometrics, statistical methodology, and data analysis using R.
Education:
- PhD, 2013: University of Minnesota (Educational Psychology, Quantitative Methods)
- MA, 2009: University of Minnesota (Educational Psychology, Quantitative Methods)
- BA, 2005: Abant Izzet Baysal University (Mathematics Education, K-8)
Research Interests:
Zopluoglu's work emphasizes integrating machine learning and statistical models into educational measurement. He develops methods to detect test misconduct (e.g., item preknowledge) using response time and accuracy data, and explores automated scoring of open-ended responses using AI (e.g., transformers). His contributions include advancements in continuous response models, multidimensional IRT, and DETECT analysis for dimensionality assessment.
Awards:
- 2023 Runner-up Prize in NAEP Math Automated Scoring Challenge (NCES)
- 2021 3rd Place in NIJ Recidivism Forecasting Challenge
- 2013 Graduate Student Research Award (University of Minnesota)
Advising & Grants:
Zopluoglu has advised on projects related to test security, automated scoring, and machine learning applications. His work often involves open-source tools like R and Stan, with a focus on reproducible research.
Labs & Collaborations:
He collaborates on initiatives like the Deterministic Gated Models for Test Security and the WrightRightNow automated scoring platform. His research leverages interdisciplinary approaches, blending psychometrics with computer science and data science.
