This paper examines the multifaceted effects of divorce on children, focusing on their psychological and physiological well-being. It highlights the significant disruption divorce causes in family dynamics, leading to profound changes in children’s emotional states, behaviors, and academic performance. The paper notes a substantial body of research documenting the psychological consequences of divorce, such as increased anxiety, depression, and behavioral issues. However, it identifies a notable gap in studies concentrating on intervention and prevention strategies. Additionally, the physiological impacts of divorce, such as health problems and developmental challenges, are not as comprehensively studied. The paper advocates for qualitative research to delve into the personal experiences of affected children and suggests expanding the scope of research to larger and more diverse population samples. It highlights the need for developing comprehensive strategies to mitigate the adverse effects of divorce on children, emphasizing a holistic approach to supporting affected families. The paper aims to guide future research directions, focusing on both understanding and preventing the negative impacts of divorce on children's well-being.

Purpose: This research systematically examines how AI technologies in higher education contribute to achieving Sustainable Development Goals (SDGs), focusing on SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). Methodology: We included peer-reviewed articles published in English between 2015 and 2025, identified through ERIC, Web of Science, Education Source Ultimate, Sustainability Reference Center, and Academic Search Ultimate databases. Out of the 1673 records, 1360 were screened after 313 duplicates were removed. We conducted full-text reviews on 75 eligible articles, and 51 met the inclusion criteria.Findings: The findings indicate that AI advances quality education through personalized learning, predictive analytics, and adaptive systems, while promoting reduced inequalities via accessibility and inclusive support for underrepresented groups. Key challenges include ethical concerns, infrastructure gaps, and cultural resistance.Originality: This study is the first to have a broad view of the application of AI in higher education institutions (HEIs) in the effort of achieving SDGs 4 and 10. It reveals the scope, patterns, and implications of AI use and synthesizes barriers impacting its integration and their influence on fulfilling SDG 4 and SDG 10 objectives. Research Limitations: This review is limited by its focus on English-language, peer-reviewed articles published between 2015 and 2025, potentially excluding relevant studies in other languages, and publication types. Practical Implications: Our review highlights the need for equitable AI implementation in HEIs by promoting ethical frameworks, infrastructure investment, and educator training to maximize its potential for advancing SDGs.