The prevalence of major depressive disorder (MDD) is growing worldwide, and experiencing violent victimization, especially during childhood, worsens its symptoms and raises the likelihood of being...Show moreThe prevalence of major depressive disorder (MDD) is growing worldwide, and experiencing violent victimization, especially during childhood, worsens its symptoms and raises the likelihood of being victimized again. This study assessed the impact of different forms of child abuse (physical, emotional, sexual) on depressive symptoms in patients with MDD and a recent history of victimization, and whether gender moderates this relationship. Additionally, it investigates whether Internet Emotion Regulation Training (iERT) as an addition to Treatment as Usual (TAU) can reduce emotion regulation difficulties and depressive symptoms in the same population. 153 patients filled in questionnaires and the hypotheses were tested by a hierarchical regression analysis and two repeated measure ANOVAs. Regarding the first research question, a significant association was found between depression and physical- and emotional child abuse, but not sexual abuse. This effect was not moderated by gender. Regarding the second research question, no significant effect was found of adding iERT to TAU on either emotion regulation difficulties or depressive symptoms.Show less
Since the emergence of Generative AI-powered (GenAI) chatbots, their potential impact on education has been widely discussed in academic and educational fields. This study explores students’...Show moreSince the emergence of Generative AI-powered (GenAI) chatbots, their potential impact on education has been widely discussed in academic and educational fields. This study explores students’ acceptance and use of GenAI chatbots, by examining the relationship between their perceptions and usage. Additionally, the study investigates potential gender differences in these perceptions and usage patterns. A correlational study was conducted using online questionnaires distributed among higher education students in the Netherlands. Only students with experience using GenAI chatbots for educational purposes were included. The sample consisted of 134 students, with an average age of 22.64 years (SD = 5.145). Among them, 35 were men, 97 were women, and two identified as ‘other’. Most students were enrolled in behavioral and social sciences, as well as education and upbringing programs. Multiple regression analysis revealed that perceptions (performance expectancy, effort expectancy, perceived risk, and anxiety) and gender predicted 21 percent of the variance in behavioral intention. These perceptions, along with gender and type of education, accounted for 16.8 percent of the variance in actual usage frequency. Performance expectancy for study in general (PEa) was the strongest predictor in both models, showing a positive effect on both behavioral intention and usage frequency, while other predictors did not significantly enhance the prediction. The study also found gender differences. Men used the chatbot more frequently than women and reported less difficulty interacting with GenAI chatbots, while women expressed more concerns about potential consequences. Based on the results, several recommendations for educational institutions are suggested. Institutions should clearly inform students about how GenAI chatbots work, provide training on how to use them effectively, and promote the importance of academic integrity. These measures can help reduce gender disparities and alleviate concerns, allowing all students to benefit from this emerging technology.Show less
Previous research into the relationship of conscientiousness and self-estimated cognitive ability has yielded discrepant results. An analysis of past research seems to suggest a moderating effect...Show morePrevious research into the relationship of conscientiousness and self-estimated cognitive ability has yielded discrepant results. An analysis of past research seems to suggest a moderating effect of age. Indeed, age seems to be positively correlated with conscientiousness and negatively with self-estimated cognitive ability, implying a negative effect of age on the relationship of conscientiousness and self-estimated cognitive ability. The current study examines this moderating effect of age on the relationship between conscientiousness and self-estimated cognitive ability. We hypothesized to find a correlation between conscientiousness and self-estimated cognitive ability only in the young participant group (<=25). Conscientiousness (BFI-2), self-estimated cognitive ability and several demographic variables including age were established of 135 participants. The average age was 39.8 (SD = 16.7) and 63 percent of participants were female. We found that, in general, participant’s self-estimated their own abilities higher than that of their peers. A positive correlation between age and conscientiousness was present (r= 0.240, p= 0.005). No correlation between conscientiousness and self-estimated cognitive ability was found in the older or younger participant group, and we were unable to demonstrate a moderating effect of age. Our findings suggest no correlation between conscientiousness and self-estimated cognitive ability and no moderating effect of age. Future research should consider the possibility that there exists in fact no effect and further investigate the validity of our findings. More knowledge of the interaction between conscientiousness and self-estimated cognitive ability might help better understand the influence of conscientiousness in mental health and whether self-estimations of cognitive ability can play a role in understanding and predicting cognitive decline, especially as people grow older.Show less