Euigyum (David) Kim: Master's student in AI-integrated Educational Design and Management. Graduate School of Education. Sogang University.
Ho-Young Ham: Master's student in AI-integrated Educational Design and Management. Graduate School of Education. Sogang University.
Ji Yeong Ahn: M.A. in AI-integrated Educational Design and Management. Graduate School of Education. Sogang University.
Seewoo Li: doctoral student at University of California at Los Angeles
Yeonwho Kim: Ph.D. in Educational Measurement from Seoul National University
Harnessing artificial intelligence (AI) in educational research: leverage generative AI for automatic item generation (AIG) and automatic machine translation (AMT) for 21st century skills such as critical thinking skills
Leveraging big data in education for large-scale assessments: advanced imputation for big data analyses with missing variables; incorporating the process data (response time, etc.) and applying the machine learning techniques in item response theory latent regression models (IRT-LRMs); secondary analyses of large-scale assessments data such as Programme for International Student Assessment (PISA), Programme for the International Assessment of Adult Competencies (PIAAC), National Assessment of Educational Progress (NAEP), and Trends in International Mathematics and Science Study (TIMSS)
Automated scoring of constructed response (CR) items: supervised learning and classification of natural language data; applicability for multiple languages; development and evaluation of automated scoring systems; statistical modeling of rater effects
Adaptive testing designs: development and implementation of multistage adaptive testing (MST) designs that meet various constraints for measuring heterogeneous groups; examination of conventional psychometric procedures and development of alternative methods to appropriately use the data collected under the MST designs