Behavioral, Social, and Cognitive Inquiry across Family, Education, Work, Care, and Digital Life

摘要

This editorial introduces Volume 1, Issue 2 of the International Journal of Behavioral and Social Analytics (IJBeSA), which brings together studies examining family dynamics, student well-being, caregiver support, academic engagement, sleep quality, leadership, work-life balance, parental involvement, social media behavior, ideological cohesion, and the epistemological implications of machine learning. The issue reflects the journal’s commitment to publishing interdisciplinary research that connects behavioral science, social analysis, education, psychology, organizational studies, and cognitive inquiry. The articles collectively show that human behavior must be examined across multiple levels: the family, school, workplace, digital environment, ideological community, and broader knowledge system. Several contributions address student and family well-being, including family dynamics, motivation, academic stress, sleep quality, and parental acceptance-rejection. Other studies examine caregiving, work-life balance, new-generation employees, social media behavior, ideological fragmentation, and the cognitive shift from classical logic to machine learning. Taken together, the issue demonstrates the value of behavioral and social analytics in understanding both everyday human experiences and larger transformations in social, educational, organizational, and technological life.