Connecting Levels of Analysis in Educational Neuroscience: A Review of Multi-level Structure of Educational Neuroscience with Concrete Examples

In its origins educational neuroscience has started as an endeavor to discuss implications of neuroscience studies for education. However, it is now on its way to become a transdisciplinary field, incorporating findings, theoretical frameworks and methodologies from education, and cognitive and brain sciences. Given the differences and diversity in the originating disciplines, it has been a challenge for educational neuroscience to integrate both theoretical and methodological perspective in education and neuroscience in a coherent way. We present a multi-level framework for educational neuroscience, which argues for integration of multiple levels of analysis, some originating in brain and cognitive sciences, others in education, as a roadmap for the future of educational neuroscience with concrete examples in moral education

How can neuroscience contribute to moral philosophy, psychology and education based on Aristotelian virtue ethics?

The present essay discusses the relationship between moral philosophy, psychology and education based on virtue ethics, contemporary neuroscience, and how neuroscientific methods can contribute to studies of moral virtue and character. First, the present essay considers whether the mechanism of moral motivation and developmental model of virtue and character are well supported by neuroscientific evidence. Particularly, it examines whether the evidence provided by neuroscientific studies can support the core argument of virtue ethics, that is, motivational externalism. Second, it discusses how experimental methods of neuroscience can be applied to studies in human morality. Particularly, the present essay examines how functional and structural neuroimaging methods can contribute to the development of the fields by reviewing the findings of recent social and developmental neuroimaging experiments. Meanwhile, the present essay also considers some limitations embedded in such discussions regarding the relationship between the fields and suggests directions for future studies to address these limitations

Why do we need to employ Bayesian statistics and how can we employ it in studies of moral education?: With practical guidelines to use JASP for educators and researchers

ABSTRACTIn this article, we discuss the benefits of Bayesian statistics and how to utilize them in studies of moral education. To demonstrate concrete examples of the applications of Bayesian statistics to studies of moral education, we reanalyzed two data sets previously collected: one small data set collected from a moral educational intervention experiment, and one big data set from a large-scale Defining Issues Test-2 survey. The results suggest that Bayesian analysis of data sets collected from moral educational studies can provide additional useful statistical information, particularly that associated with the strength of evidence supporting alternative hypotheses, which has not been provided by the classical frequentist approach focusing on P-values. Finally, we introduce several practical guidelines pertaining to how to utilize Bayesian statistics, including the utilization of newly developed free statistical software, Jeffrey’s Amazing Statistics Program, and thresholding based on Bayes Factors, to scholars in the field of moral education

The VIA Inventory of Strengths, Positive Youth Development, and Moral Education

The VIA Inventory of Strengths and the VIA model were originally developed to assess and study 24 character strengths. In this paper, I discuss how the VIA Inventory and its character strength model can be applied to the field of moral education with moral philosophical considerations. First, I review previous factor analysis studies that have consistently reported factors containing candidates for moral virtues, and discuss the systematic structure and organization of VIA character strengths. Second, I discuss several issues related to the VIA model, including a lack of previous studies that directly support the moral justifiability of the model and the presence of a fundamental virtue component required for optimal moral functioning in virtue ethics, phronesis, practical wisdom, in the model. Finally, I propose future directions for research on the VIA model in order to address the aforementioned issues and facilitate the application of the model in moral education

The VIA Inventory of Strengths, Positive Youth Development, and Moral Education

The VIA Inventory of Strengths and the VIA model were originally developed to assess and study 24 character strengths. In this paper, I discuss how the VIA Inventory and its character strength model can be applied to the field of moral education with moral philosophical considerations. First, I review previous factor analysis studies that have consistently reported factors containing candidates for moral virtues, and discuss the systematic structure and organization of VIA character strengths. Second, I discuss several issues related to the VIA model, including a lack of previous studies that directly support the moral justifiability of the model and the presence of a fundamental virtue component required for optimal moral functioning in virtue ethics, phronesis, practical wisdom, in the model. Finally, I propose future directions for research on the VIA model in order to address the aforementioned issues and facilitate the application of the model in moral education

Neuroscience of morality and teacher education

Given that teachers become primary fundamental exemplars and models for their students and the students are likely to emulate the presented teachers’ behaviors, it is necessary to consider how to promote teachers’ abilities as potential moral educators during the course of teacher education. To achieve this ultimate aim in teacher education, as argued by moral philosophers, psychologists, and educators, teachers should be able to well understand the mechanisms of moral functioning and how to effectively promote moral development based on evidence. Recent findings in the fields of social sciences that have examined how morality is functioning among human beings, moral psychology in particular, provide us with the evidence through experiments and observations. Furthermore, thanks to the development of scientific research methods that enable researchers to investigate the neural-level nature of human behavior, the researchers now can examine neural correlates of moral functioning that constitutes the basis of moral behavior and development. To facilitate the understanding of the field of neuroscience of morality and its educational implications within the context of teacher education, first, the recent trend in the field will be reviewed, and second, how it can provide useful insights to teachers and teacher educations will be discussed

Evaluating Methods of Correcting for Multiple Comparisons Implemented in SPM12 in Social Neuroscience fMRI Studies: An Example from Moral Psychology

In fMRI research, the goal of correcting for multiple comparisons is to identify areas of activity that reflect true effects, and thus would be expected to replicate in future studies. Finding an appropriate balance between trying to minimize false positives (Type I error) while not being too stringent and omitting true effects (Type II error) can be challenging. Furthermore, the advantages and disadvantages of these types of errors may differ for different areas of study. In many areas of social neuroscience that involve complex processes and considerable individual differences, such as the study of moral judgment, effects are typically smaller and statistical power weaker, leading to the suggestion that less stringent corrections that allow for more sensitivity may be beneficial, but also result in more false positives. Using moral judgment fMRI data, we evaluated four commonly used methods for multiple comparison correction implemented in SPM12 by examining which method produced the most precise overlap with results from a meta-analysis of relevant studies and with results from nonparametric permutation analyses. We found that voxel-wise thresholding with family-wise error correction based on Random Field Theory provides a more precise overlap (i.e., without omitting too few regions or encompassing too many additional regions) than either clusterwise thresholding, Bonferroni correction, or false discovery rate correction methods

Comment on Raine (2019) ‘The neuromoral theory of antisocial, violent, and psychopathic behavior’

Raine (2019) reviewed previous research on the neural correlates of antisocial, violent, and psychopathic behavior based on previous studies of neuroscience of morality. The author identified neural circuitries associated with the aforementioned types of antisocial behaviors. However, in the review, Raine acknowledged a limitation in his arguments, the lack of evidence supporting the presence of the neural circuitries. In this correspondence, I intend to show that some of his concerns, particularly those about the insula and cingulate cortex, can be addressed with additional evidence from recent neuroimaging research. In addition, I will propose that the additional evidence can also provide some insights about how to design future neuroimaging studies to examine the functionality of the striatum in the circuitries

Potential Benefits of Employing Large Language Models in Research in Moral Education and Development

Recently, computer scientists have developed large language models (LLMs) by training prediction models with large-scale language corpora and human reinforcements. The LLMs have become one promising way to implement artificial intelligence with accuracy in various fields. Interestingly, recent LLMs possess emergent functional features that emulate sophisticated human cognition, especially in-context learning and the chain of thought, which were unavailable in previous prediction models. In this paper, I will examine how LLMs might contribute to moral education and development research. To achieve this goal, I will review the most recently published conference papers and ArXiv preprints to overview the novel functional features implemented in LLMs. I also intend to conduct brief experiments with ChatGPT to investigate how LLMs behave while addressing ethical dilemmas and external feedback. The results suggest that LLMs might be capable of solving dilemmas based on reasoning and revising their reasoning process with external input. Furthermore, a preliminary experimental result from the moral exemplar test may demonstrate that exemplary stories can elicit moral elevation in LLMs as do they among human participants. I will discuss the potential implications of LLMs on research on moral education and development with the results