Recent studies have enthusiastically examined the developmental origin of moral self-licensing, which is a tendency to act immorally after acting morally. However, it has not been considered enough how children evaluate personality traits of individuals who show moral licensing behavior and whether there is any developmental change in this evaluation. This study examined the developmental change in moral evaluation, social preference, and prediction of moral behaviors for moral licensing characters as well as moral or immoral characters. In total, 36 5- and 6-year-old children, 36 7- and 8-year-old children, and 58 university students participated in the study. The results revealed that 7- and 8-year-olds and adults evaluated moral licensing characters as more moral and likable than those who behave immorally, unlike 5- and 6-year-olds, who did not distinguish between the immoral and moral licensing characters. Importantly, 7- and 8-year-olds judged the moral licensing character as neutral in both moral evaluation and judgment of social preference, suggesting that they thought the immoral behavior was canceled out owing to prior moral behavior in the moral licensing character. However, adults still judged the moral licensing character as immoral and dislikable. Moreover, children's prediction of moral behavior for all characters showed the same tendency as moral evaluation, whereas adults' prediction was slightly different from their moral evaluation. Taken together, our findings revealed that the evaluation of individuals who show moral licensing behavior changed developmentally, and a moral licensing effect was found when evaluating others' moral traits from around 7 or 8 years of age.
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http://dx.doi.org/10.1016/j.jecp.2024.106065 | DOI Listing |
J Prof Nurs
December 2024
Indiana University Kokomo School of Nursing and Allied Health Professions, 2300 S. Washington Street, Kokomo, IN 46904, USA. Electronic address:
Purpose: This article examines teaching the consequences of harm and error to multisite prelicensure baccalaureate, second-degree baccalaureate, and graduate nursing students utilizing the RaDonda Vaught Trial as an exemplar. The Jigsaw Technique (JT) was the chosen learning strategy to empower students with knowledge and understanding through the lens of terms acquired throughout existing concept-based nursing curriculum.
Results: Nursing students evaluated the approach to this activity using both quantitative and qualitative feedback.
Nurs Sci Q
January 2025
College of Nursing, California Baptist University, Riverside, CA, USA.
In this column on the humanbecoming teaching-learning model, the author explores creativity in nurse education as an alternative to routinized learning strategies. There is an explanation of the American Association of Colleges of Nursing (AACN) Essentials, domains, competencies, subcompetencies, concepts, and spheres of care, followed by an explanation of competency-based education. These topics are contrasted with the humanbecoming paradigm and the humanbecoming teaching-learning model.
View Article and Find Full Text PDFBMC Neurol
December 2024
Department of Epidemiology, Erasmus University Medical Centre, Rotterdam, The Netherlands.
Background: A sustainable pandemic preparedness strategy is essential to ensure equitable access to healthcare for individuals with neurodegenerative diseases. Moreover, it is vital to provide clinicians and researchers in the neurodegenerative disease fields with resources and infrastructure to ensure continuity of their work during a (health) crisis.
Methods: We established an international collaboration between researchers, clinicians, and patient representatives from the Netherlands, Poland, and the United Kingdom.
Trends Biotechnol
December 2024
School of Business, Wake Forest University, Winston-Salem, NC, USA.
The adverse effects of academic bullying and harassment, which are longstanding issues within academic environments, on industry sectors have been inadequately addressed. This commentary explores the detrimental impacts of bullying and harassment in the biotech and biomedical engineering industries, including reduced employee morale, increased turnover, impaired collaboration, and hindered innovation.
View Article and Find Full Text PDFComput Biol Med
January 2025
Area 2 AI Corporation, 245 Main Street, Cambridge, 02142, MA, United States.
Objective: This paper aims to introduce and assess KeyGAN, a generative modeling-based keystroke data synthesizer. The synthesizer is designed to generate realistic synthetic keystroke data capturing the nuances of fine motor control and cognitive processes that govern finger-keyboard kinematics, thereby paving the way to support biomarker development for psychomotor impairment due to neurodegeneration.
Methods: KeyGAN is designed with two primary objectives: (i) to ensure high realism in the synthetic distributions of the keystroke features and (ii) to analyze its ability to replicate the subtleties of natural typing for enhancing biomarker development.
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