Seang‐Hwane Joo

Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems

Konstantinos Pliakos, Seang‐Hwane Joo, Jung Yeon Park et al. · Computers & Education · 2019 · 128 citations · Full text

Artificial Intelligence, Cold Start Problem, Engineering +12

Examining stability of personality profile solutions between Likert-type and multidimensional forced choice measure

Philseok Lee, Seang‐Hwane Joo, Sunhee Lee · Personality and Individual Differences · 2019 · 48 citations

Quality Of Life, Personality Psychology, Behavioral Decision Making +7

An explanatory item response theory method for alleviating the cold-start problem in adaptive learning environments

Jung Yeon Park, Seang‐Hwane Joo, Frederik Cornillie et al. · Behavior Research Methods · 2018 · 47 citations · Full text

Learning Problem, Cognitive Science, Learning Theory +13

Measurement Invariance Testing Across Between-Level Latent Classes Using Multilevel Factor Mixture Modeling

Eunsook Kim, Seang‐Hwane Joo, Philseok Lee et al. · Structural Equation Modeling A Multidisciplinary Journal · 2016 · 46 citations

A Monte Carlo evaluation of masked visual analysis in response‐guided versus fixed‐criteria multiple‐baseline designs

John M. Ferron, Seang‐Hwane Joo, Joel R. Levin · Journal of Applied Behavior Analysis · 2017 · 42 citations

Attention, Social Sciences, Masked Visual Analysis +16