Areas of Research:
- Educational Neuroscience
- Positive Psychology
- Moral Psychology
The Social, Emotional, and EDucational Neuroscience Lab at the University of Alabama College of Education, the SEED Neuroscience Lab, studies how to promote students' social, emotional, and motivational development in educational settings by utilizing various neuroscientific research methods, including but not limited to, functional MRI (fMRI), structural MRI, psychological intervention, and computer simulation methods. We conduct research projects focusing on moral development and education, growth mindset, and effective educational interventions promoting positive youth development.
He is conducting research projects focusing on the neural-level nature of social, emotional, and motivational processes in educational settings, such as moral development, growth mindset, and social adjustment in school, by utilizing interdisciplinary research methods including neuroimaging, psychological intervention, and computer simulation methods.
With interdisciplinary research interests in the improvement of education, Dr. Han conducts research projects in Social, Emotional, and EDucational (SEED) Neuroscience. His research interests include neuroscience of morality, socio-moral development, growth mindset, educational intervention, computational simulation, and professional ethics education
Skills and Expertise:
- Magnetic Resonance
- Cognitive Neuroscience
- Cognitive Neuropsychology
- Statistical Analysis
- MATLAB
- Neuroimaging
- Brain Imaging
- Adolescent Development
- Neuroscience
- Cognitive Development
Current Research Projects:
- Moral growth mindset, moral character and positive youth development
- Implicit theories of moral character and moral motivation, and flourishing
- Why Do Some Stories of Moral Exemplars Increase Prosocial Behavior?
- Analyzing data in studies of moral psychology and moral education with bayesian inference
- Bayesian second-level analysis of fMRI data with SPM 12
- Neural correlates of moral judgment and moral development
- Predicting long-term outcomes of educational interventions with computer simulation
