This systematic review of forty articles aims to synthesise the increasing number of work done on work engagement and job characteristics by analysing the preferred sources from 2017 to 2021. The research studies were carefully chosen according to the researcher's inclusion criteria. The all-encompassing review of the literature has included an introduction,significance, and review of 'job characteristics theory, 'job demand theory', and elaborates innovative definition of 'work engagement' in the light of the literature review. The analyses were performed in terms of annual scientific production, most relevant sources, Bradford's law, source growth, tree map, and word dynamics through biblioshiny. MS Excel was used to evaluate the research studies. This systematic review will be beneficial to organisations and policymakers to plan the characteristics of jobs effectively to promote employee participation. Emphasis on the employees' work engagement and job characteristics will support apprehending the dream of a perfect workplace.

The rapid integration of artificial intelligence (AI) in all domains of society is reshaping the academic landscape, calling for a change in curriculum design and delivery. This systematic review investigates how the educational system is changing to adapt its curriculum to align with the opportunities and challenges created by AI technologies. The four primary theoretical frameworks include Constructivist Learning Theory, Technological Pedagogical Content Knowledge (TPACK), Digital Capital Theory, and the 21st-Century Skills Framework in the framework of AI education teaching, technical and equity dimensions. The results show that when AI promises personal education, administrative performance, and modern teaching methods, there are important gaps in curriculum education, the preparation of teachers, and moral integration. In combination with current global literature, this study provides valuable insights for teachers, policymakers, and curriculum designers in the AI-powered world.