Measuring What Truly Matters: A New Scale Blends Psychology and Spirituality to Redefine Effectiveness in Churches
Published in Behavioural Sciences & Psychology, Education, and Business & Management
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Teacher Mental Health in Educational Settings: Determinants, Protective Factors, and Educational Impact
Teacher mental health has emerged as a critical concern in educational research, particularly as educators face unprecedented challenges in contemporary educational settings. This Collection advances our understanding of teacher mental health by examining its multifaceted nature, determinants, protective mechanisms, and impacts on educational outcomes. We welcome empirical studies, theoretical frameworks, and innovative methodological approaches that investigate the dynamic interplay between teachers' psychological well-being and the educational environment.
The collection invites contributions addressing key areas including: psychological need satisfaction and thwarting in teaching contexts; patterns of occupational stress and burnout; work-related motivation and engagement; protective factors at individual, school, and systemic levels; and the ripple effects of teacher mental health on student outcomes and school climate. We particularly welcome studies examining cultural variations in teacher mental health, innovative intervention approaches, and the impact of recent global challenges on teacher well-being.
We seek submissions employing diverse methodological approaches, including quantitative, qualitative, and mixed-methods designs. Studies featuring advanced statistical techniques such as structural equation modeling, multilevel analysis, or longitudinal designs are especially encouraged, as are cross-cultural investigations that offer comparative perspectives on teacher mental health across different educational contexts.
This collection aims to inform evidence-based practices and policies that enhance both teacher well-being and educational effectiveness. We invite contributions from established researchers and emerging scholars to advance this crucial discourse in educational psychology.
Keywords:Teacher mental health, Psychological well-being, Occupational stress, Teacher burnout, Work motivation, Protective factors, School climate, Student outcomes, Educational psychology, Mental health interventions
Publishing Model: Open Access
Deadline: Feb 28, 2026
Artificial Intelligence in Psychology: Navigating the Intersection of Minds and Machines
The dynamic landscape of psychology is undergoing a profound transformation propelled by the rapid advancements in Artificial Intelligence (AI). In this evolving paradigm, the symbiosis between human cognition and machine intelligence unfolds, offering unprecedented opportunities and simultaneously posing novel challenges. This special issue extends an invitation for contributions that probe the intricate relationship between AI and psychology, exploring intersections that are shaping the future landscape of mental health, behavior analysis, and cognitive processes.
AI's impact on psychology is broad and diverse, encompassing a spectrum of areas. Firstly, there is a focus on the innovative applications of machine learning for behavioral analysis and modification (a). Additionally, the influence of AI on emotional well-being and mental health is examined (b), along with an exploration of shifts in cognition and decision-making in the AI era (c). The call for submissions also encompasses the investigation of societal attitudes, beliefs, and ethical considerations surrounding the integration of AI in psychological practices (d). Furthermore, attention is given to the role of AI in diagnosis and personalized therapeutic interventions and (e), as well as the ethical implications of AI-driven psychological research (f). The collection also delves into the influence of AI in enhancing educational methodologies and psychological interventions (g).
This interdisciplinary Topical Collection strives to amalgamate cutting-edge research that navigates the dynamic interplay between artificial intelligence and psychology. Submissions are encouraged to explore the transformative potential of AI not only in understanding and modifying human behavior but also in the crucial domain of diagnosis. Submissions are sought that shed light on the role of AI in diagnosing psychological conditions, thereby expanding the horizons of AI applications in the realm of mental health.
Keywords: Artificial Intelligence; Machine Learning; Psychology; Mental Health; Ethical Considerations; Cognitive Processes; Behavioral Analysis; Therapeutic Interventions; Educational Methodologies; Mathematical Modelling; Diagnosis
Publishing Model: Open Access
Deadline: Dec 31, 2025
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