This study delves into artificial intelligence (AI) literacy within Zambian academic libraries, focusing on librarians’ perceptions and applications of AI. The research aims to gauge the AI literacy level among Library and Information Science Professionals in Zambia, identify their awareness and knowledge of AI applications in libraries, and explore their perceptions regarding the advantages and challenges of implementing AI technologies in library services. Data from 82 diverse participants were gathered using purposive and convenience sampling methods. The findings indicate a solid understanding of AI fundamentals among Zambian librarians and positive attitudes towards AI’s potential benefits in library services. However, challenges such as the need for enhanced AI expertise, resistance to change, and budgetary constraints are acknowledged.

In recent years, mobile learning has emerged as a promising educational paradigm, revolutionizing the landscape of higher education. As the world confronts escalating environmental challenges and calls for sustainable solutions, it becomes essential to explore the potential of mobile learning to contribute to a more sustainable future. This review encompasses a comprehensive analysis of the existing literature, focusing on empirical studies, theoretical frameworks, and case studies conducted between 2002 and 2021. A substantial corpus of 981 articles were selected for in-depth examination by employing rigorous inclusion and exclusion criteria. The findings reveal that mobile learning has witnessed significant growth and diversification within higher education, with pervasive adoption across various disciplines and student populations. The identified studies present many innovative mobile learning strategies, encompassing mobile applications, gamified learning platforms, augmented reality experiences, and location-based learning. In conclusion, this systematic review underscores the substantial potential of mobile learning in higher education toward a sustainable future. By harnessing technological innovations, promoting eco-friendly practices, and fostering digital inclusivity, institutions can embark on a transformative journey that enhances educational outcomes and contributes to environmental preservation and global sustainability efforts. Future research should focus on exploring new avenues for sustainable mobile learning and conducting longitudinal studies to assess the long-term impact of mobile learning initiatives on educational outcomes and environmental conservation.

Electronic medical records (EMRs) are critical, highly sensitive private information in health sector, and manage patient health information. The purpose of the study identifies a unique opportunity to develop a secure for maternal child health care. This work uses the Scopus, PubMed, and Web of Science databases to analyse the most productive authors, journals, institutions, and countries, as well as the most cited papers and the citing articles. The investigation used bibliometric analysis to identify the bibliographic data from 501 articles published from 2011 and 2025 and implementation of EMRs for maternal and child healthcare. Based on the findings, the issue is multifaceted and involves various stakeholders, including health care providers, patients, and technological issues within the health sectors. The proposed work can significantly reduce the turnaround time for EMRs sharing, improve decision making for medical care, and reduce the overall cost of medical instruments.