scoping review

Researchers believe that separation and divorce are the most important stressful events that can happen in life. Therefore, divorce is a complex and painful process that leads to changes in different areas of life and requires coping strategies. This is despite the fact that more studies have focused on women and children after divorce, and men's divorce has been neglected. The present scoping review seeks to investigate, identify, and plot the main concepts relating to men's divorce and its dimensions, domains, impacts and factors based on the main references and evidence. The scoping review method was used to search electronic databases for relevant articles. Of the 3025 abstracts initially identified, after screening both abstracts and full texts, 26 studies were selected for inclusion in this review. After abstracting key information from each study, a content analysis was conducted. Five themes were identified from the content analysis: 1) Demographic, 2) child custody, 3) Psychological factors, 4) attachment style and 5) Coping strategies. This study explained and identified the men's divorce components, its results can reduce the negative effects of divorce on men.

ChatGPT-assisted language instruction is gathering irresistible momentum in today’s fast-moving, AI-governed world of educational enterprises. The current scoping review article sought to analyze and synthesize the existing literature on the complementary use of ChatGPT in second/foreign language (L2/FL) education and pedagogy. Aligned with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA‑ScR), the study adopted a systematic approach to evidential data search and analysis. A total of 28 peer-reviewed articles retrieved from well-established databases, such as Scopus and Web of Science (WoS), were reviewed to map the scope and consequences of the growing body of literature on using ChatGPT as an L2/FL learning/teaching tool. Centering around five predetermined variables, including setting, design, focus area, objective, and concluding remarks, the content or thematic analysis results helped to shape a clear picture of the literature under review. The literature-derived evidential data also referred to the fruits of ChatGPT-assisted instruction under three distinct headings: learning outcomes, pedagogical outcomes, and cognitive-affective impetus for language learning and teaching. The review results also revealed the repercussions of the instruction mainly concerned with ethical and technical concerns. Given the immature but fast-paced nature of the literature on the instructional model, this early attempt, though provided a brief sketch of the research scope and chief outcomes of the model, needs to be complemented with future systematic reviews to fully unlock the potential of language pedagogy well suited to the demands of today’s technology-governed education.