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- All Subjects: Counseling psychology
During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot survey was administered to 200 participants currently enrolled as undergraduate students at Arizona State University. A multiple regression analysis and Pearson correlations were calculated. A moderate, significant correlation was found between student engagement (total score) and resilience. A significant correlation was found between cognitive engagement (student’s approach and understanding of his learning) and resilience and between valuing and resilience. Contrary to expectations, participation was not associated with resilience. Potential explanations for these results were explored and practical applications for the university were discussed.
We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.
A national sample of 314 participants (221 female, 89 male, 4 nonbinary) who self-identified as Asian American undergraduates were recruited online and through word of mouth. They completed assessments of six constructs: Academic self-efficacy, independent self-construal, perceived parental expectations for academic achievement, internalization of the model minority myth, academic stress, and depression.
Hierarchical multiple regression analyses revealed that of the two self-beliefs, only academic self-efficacy was a predictor of academic stress and depression. The greater the students’ academic self-efficacy, the less academic stress and depression they reported. Independent self-construal was not a significant predictor. Additionally, perceived parental expectations for academic achievement also predicted academic stress and depression. The more students perceived that their parents had high expectations for their academic achievement, the more they experienced academic stress and depression. The cultural variable, internalization of the model minority myth, was not a predictor of academic stress or depression. A moderated hierarchical regression examining whether academic self-efficacy and independent self-construal moderated the relation between perceived parental expectations for academic achievement and academic stress and depression revealed no moderation effects.
The importance of academic self-efficacy is discussed in the context of cognitive theory that posits that thoughts and beliefs affect behaviors and emotions. In addition, cognitive theory is used to explain perceived parental expectations for academic achievement, as these are perceptions and beliefs about others, as related to one’s self. That the internalization of the model minority myth was not related to depression and academic stress is discussed. Limitations and clinical implications for working with Asian Americans with academic stress and depression are also discussed.