Yoonsun Jang
Biographic Data
| ID | 5847019 |
|---|---|
| NAME | Yoonsun Jang |
| GIVEN NAMES | Yoonsun |
| FAMILY NAME | Jang |
| SIGNATURE | JANG Y |
| AFFILIATIONS | Daegu National University of Education |
| ORCID | 0000-0002-4994-848X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Are Pisa 2022 creative thinking items fair? A tree-based approach to detecting DIF
Development and implementation of a generative artificial intelligence-enhanced simulation to enhance problem-solving skills for pre-service teachers
Longitudinal relationships between academic self-control and achievement motivation during different adolescence stages
Uncovering Behavioral Patterns in Creative Thinking
Examining cognitive dynamics in the creative process is crucial for advancing creative theories and creativity education but has been historically understudied due to the technical challenges in collecting fine‐grained data underlying cognitive processes. The PISA 2022 Creative Thinking assessment has the potential to address this limitation by offering rich, technology‐based process data that capture cognitive and affective dynamics. To explore …
The Impact of Markov Chain Convergence on Estimation of Mixture IRT Model Parameters
A nonconverged Markov chain can potentially lead to invalid inferences about model parameters. The purpose of this study was to assess the effect of a nonconverged Markov chain on the estimation of parameters for mixture item response theory models using a Markov chain Monte Carlo algorithm. A simulation study was conducted to investigate the accuracy of model parameters estimated with different degree of convergence. Results indicated the accura…
No prominent works on this page.
The Impact of Markov Chain Convergence on Estimation of Mixture IRT Model Parameters
A nonconverged Markov chain can potentially lead to invalid inferences about model parameters. The purpose of this study was to assess the effect of a nonconverged Markov chain on the estimation of parameters for mixture item response theory models using a Markov chain Monte Carlo algorithm. A simulation study was conducted to investigate the accuracy of model parameters estimated with different degree of convergence. Results indicated the accura…
Development and implementation of a generative artificial intelligence-enhanced simulation to enhance problem-solving skills for pre-service teachers
Longitudinal relationships between academic self-control and achievement motivation during different adolescence stages
Uncovering Behavioral Patterns in Creative Thinking
Examining cognitive dynamics in the creative process is crucial for advancing creative theories and creativity education but has been historically understudied due to the technical challenges in collecting fine‐grained data underlying cognitive processes. The PISA 2022 Creative Thinking assessment has the potential to address this limitation by offering rich, technology‐based process data that capture cognitive and affective dynamics. To explore …
Are Pisa 2022 creative thinking items fair? A tree-based approach to detecting DIF
Computer Science (2 works) · Creativity in Education and Neuroscience (2 works) · Education, Achievement, and Giftedness (2 works) · Grit, Self-Efficacy, and Motivation (2 works) · Item response theory (2 works) · Academic achievement (1 works) · Additive Markov chain (1 works) · Adolescent development (1 works) · Advanced Statistical Modeling Techniques (1 works) · Applied Mathematics (1 works)