We conducted a study on the predictors of using AI-enabled mental health tools among psychology students and early practitioners.
We wrote a review on AI-enabled precision psychiatry patents published between 2015 and mid-October 2022. Multiple analytic approaches, such as graphic network analysis and topic modeling, are used to analyze the scope, content, and trends of the retained patents. The tools described aim to provide diagnosis, prediction of treatment responses, and prognosis of mental disorder symptoms. Additionally, about one-third of the tools suggest treatment options related to selection, adjustment, and management. The complexity of technology combinations has increased over the years. This review highlights the potential of AI-enabled precision psychiatry tools for adoption in practice.
Thriving at work has been defined as employees’ joint sense of vitality and learning. Based on the socially embedded model of thriving at work, we examine several competing operationalizations of thriving at work. We hypothesize effects of (a) composite thriving, (b) separate vitality and learning scores, and (c) the interaction between vitality and learning, and we explore effects of (d) the congruence between vitality and learning on self-rated physical and mental health.
We shed light on social-cognitive resources that mitigate master students’ experience of dysfunctional career-related worry before graduation.
On the basis of Lent and Brown’s (2013) model of career self-management (CSM), the meta-analysis examined the antecedents and outcomes of career exploration among college students (K = 109, N = 34,969 students). The findings highlight several implications for the further development of the CSM model, future research on students’ career exploration, and career development practice.
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