Sue Hyeon Paek
Biographic Data
| ID | 5010347 |
|---|---|
| NAME | Sue Hyeon Paek |
| GIVEN NAMES | Sue Hyeon |
| FAMILY NAME | Paek |
| SIGNATURE | PAEK S H |
| AFFILIATIONS | University of Northern Colorado |
| ORCID | 0000-0002-7693-1624 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Are Pisa 2022 creative thinking items fair? A tree-based approach to detecting DIF
From playtime to potential
Characteristics explaining students’ creative behaviors in South Korea using random forest
Are Creativity Tests Vulnerable to Coaching
This study tested the claim that coaching on a widely used creativity measure can improve respondents’ scores on that measure – specifically whether those who receive explicit coaching on the scoring of the Torrance Tests of Creative Thinking-Figural (TTCT-F) get higher subsequent scores on the test. A total of 35 adults were included in the treatment and reference groups. The treatment condition was defined as receiving coaching on how to score …
Identifying Creative Potential in Students
The burgeoning interest in enhancing creativity within K-12 education underscores the crucial role of creativity in fostering innovative economies. Despite its significance, creative education remains underprioritized and under-explored, often due to misunderstandings about its nature and the complexities involved in its assessment. The present review delved into the challenges of assessing creative potential in students, highlighting the complex…
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 …
Predicting academic and career choice
We used the social‐cognitive choice model (Lent et al., 2018) as a framework for investigating academic and career choice in the domain of geoscience for male and female students. In addition, we explored the role of perceived connection to instructors and transformative experience as additional factors in the social‐cognitive choice model. A total of 525 individuals from six geoscience departments participated. We conducted three path models wit…
Problem finding and creativity
Scrutinizing the basis of originality in divergent thinking tests
BACKGROUND: The originality of divergent thinking (DT) production is one of the most critical indicators of creative potential. It is commonly scored using the statistical infrequency of responses relative to all responses provided in a given sample. AIMS: Response frequency estimates vary in terms of measurement precision. This issue has been widely overlooked and is addressed in the current study. SAMPLE AND METHOD: Secondary data analysis of 2…
Scrutinizing the basis of originality in divergent thinking tests
BACKGROUND: The originality of divergent thinking (DT) production is one of the most critical indicators of creative potential. It is commonly scored using the statistical infrequency of responses relative to all responses provided in a given sample. AIMS: Response frequency estimates vary in terms of measurement precision. This issue has been widely overlooked and is addressed in the current study. SAMPLE AND METHOD: Secondary data analysis of 2…
Problem finding and creativity
Scrutinizing the basis of originality in divergent thinking tests
BACKGROUND: The originality of divergent thinking (DT) production is one of the most critical indicators of creative potential. It is commonly scored using the statistical infrequency of responses relative to all responses provided in a given sample. AIMS: Response frequency estimates vary in terms of measurement precision. This issue has been widely overlooked and is addressed in the current study. SAMPLE AND METHOD: Secondary data analysis of 2…
Predicting academic and career choice
We used the social‐cognitive choice model (Lent et al., 2018) as a framework for investigating academic and career choice in the domain of geoscience for male and female students. In addition, we explored the role of perceived connection to instructors and transformative experience as additional factors in the social‐cognitive choice model. A total of 525 individuals from six geoscience departments participated. We conducted three path models wit…
Characteristics explaining students’ creative behaviors in South Korea using random forest
Are Creativity Tests Vulnerable to Coaching
This study tested the claim that coaching on a widely used creativity measure can improve respondents’ scores on that measure – specifically whether those who receive explicit coaching on the scoring of the Torrance Tests of Creative Thinking-Figural (TTCT-F) get higher subsequent scores on the test. A total of 35 adults were included in the treatment and reference groups. The treatment condition was defined as receiving coaching on how to score …
Identifying Creative Potential in Students
The burgeoning interest in enhancing creativity within K-12 education underscores the crucial role of creativity in fostering innovative economies. Despite its significance, creative education remains underprioritized and under-explored, often due to misunderstandings about its nature and the complexities involved in its assessment. The present review delved into the challenges of assessing creative potential in students, highlighting the complex…
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
From playtime to potential
Creativity in Education and Neuroscience (7 works) · Psychology (6 works) · Creativity (5 works) · Social Psychology (5 works) · Education, Achievement, and Giftedness (4 works) · Mathematics education (3 works) · Computer Science (2 works) · Mathematics (2 works) · Neuroscience, Education and Cognitive Function (2 works) · Pedagogy (2 works)