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  1. Why do We Need to Employ Exemplars in Moral Education? Insights from Recent Advances in Research on Artificial Intelligence.Hyemin Han - forthcoming - Ethics and Behavior.
    In this paper, I examine why moral exemplars are useful and even necessary in moral education despite several critiques from researchers and educators. To support my point, I review recent AI research demonstrating that exemplar-based learning is superior to rule-based learning in model performance in training neural networks, such as large language models. I particularly focus on why education aiming at promoting the development of multifaceted moral functioning can be done effectively by using exemplars, which is similar to exemplar-based learning (...)
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  • Considerations for Effective Use of Moral Exemplars in Education: Based on the Self-Determination Theory and Data Syntheses.Hyemin Han & Marja Graham - forthcoming - Theory and Research in Education.
    The present study aimed to examine how to improve the effectiveness of moral exemplar-applied interventions based on the pillars of the Self-Determination Theory (SDT) framework, autonomy, competence, and relatedness. Past research has mainly focused on the relatedness and attainability of moral exemplars for predicting motivation outcomes. The data for this study consisted of synthesized data sets from previous studies examining the motivational impacts of distinct moral exemplars and intervention methods. The main syntheses for these data sets used Multilevel Modeling (MLM) (...)
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  • Examining the Network Structure among Moral Functioning Components with Network Analysis.Hyemin Han - 2024 - Personality and Individual Differences 217:112435.
    I explored the association between components constituting the basis for moral and optimal human functioning, i.e., moral reasoning, moral identity, empathy, and purpose, via network analysis. I employed factor scores instead of composite scores that most previous studies used for better accuracy in score estimation in this study. Then, I estimated the network structure among collected variables and centrality indicators. For additional information, the structure and indicators were compared between two groups, participants who engaged in civic activities highly versus lowly. (...)
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