Myung‐Sun Kim
Biographic Data
| ID | 7053957 |
|---|---|
| NAME | Myung‐Sun Kim |
| GIVEN NAMES | Myung‐Sun |
| FAMILY NAME | Kim |
| SIGNATURE | KIM M S |
| AFFILIATIONS | Sungshin Women's University |
| ORCID | 0000-0002-2404-090X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Improve Student Risk Prediction with Clustering Techniques
Student dropout rates continue to present major difficulties for educational institutions, leading to academic, operational, and financial impacts. Educational Data Mining (EDM) methods, particularly those combining clustering techniques with predictive models, have demonstrated potential in identifying at-risk students early and accurately. This systematic review explores how cluster-based prediction models have been applied in educational conte…
Decision-Making Deficits Are Associated With Learning Impairments in Female College Students at High Risk for Anorexia Nervosa
This study investigated deficits in decision-making ability in female college students at high risk for anorexia nervosa (AN) using the Iowa Gambling Task (IGT) and the prospect valence learning (PVL) model. Based on scores on the Korean version of the Eating Attitude Test-26 (KEAT-26), participants were assigned to either the high risk for AN group ( n = 42) or the control group ( n = 43). The high risk for AN group exhibited significantly lower…
Frontal P300 Decrement and Executive Dysfunction in Adolescents with Conduct Problems
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Frontal P300 Decrement and Executive Dysfunction in Adolescents with Conduct Problems
Decision-Making Deficits Are Associated With Learning Impairments in Female College Students at High Risk for Anorexia Nervosa
This study investigated deficits in decision-making ability in female college students at high risk for anorexia nervosa (AN) using the Iowa Gambling Task (IGT) and the prospect valence learning (PVL) model. Based on scores on the Korean version of the Eating Attitude Test-26 (KEAT-26), participants were assigned to either the high risk for AN group ( n = 42) or the control group ( n = 43). The high risk for AN group exhibited significantly lower…
Improve Student Risk Prediction with Clustering Techniques
Student dropout rates continue to present major difficulties for educational institutions, leading to academic, operational, and financial impacts. Educational Data Mining (EDM) methods, particularly those combining clustering techniques with predictive models, have demonstrated potential in identifying at-risk students early and accurately. This systematic review explores how cluster-based prediction models have been applied in educational conte…
Clinical Psychology (2 works) · Clinical Psychology (2 works) · Cognition (2 works) · Developmental psychology (2 works) · Psychiatry (2 works) · Psychology (2 works) · Anorexia nervosa (1 work) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 work) · Attention Deficit Hyperactivity Disorder (1 work) · Audiology (1 work)