The integration of generative artificial intelligence (AI) into higher education has the potential to revolutionize teaching, learning, research, and administration. However, the rapid adoption of AI technologies raises significant concerns related to academic integrity, ethics, equity, and transparency. This article investigates the current guidelines and policies developed by higher education institutions (HEIs) regarding the use of generative AI in various academic and administrative contexts. Through a qualitative analysis of institutional documents and interviews with academic staff and administrators, the study identifies key themes and challenges in the implementation of AI tools. The findings highlight the importance of balancing innovation with academic integrity, promoting AI literacy, and addressing issues of bias and accountability. It also emphasizes the need for standardized and scalable policies that align AI use with institutional values and educational objectives. Ultimately, the article provides recommendations for HEIs to develop comprehensive, forward-thinking policies that enable the responsible and effective use of generative AI.

Augmented Reality (AR) technology has emerged as a powerful tool in enhancing educational experiences, particularly within laboratory environments. By integrating digital information with real-world environments, AR creates interactive and immersive learning opportunities that bridge the gap between theoretical knowledge and practical application. This paper explores the potential of AR in laboratory settings, focusing on its impact on science education and research methodologies. AR applications provide students with real-time visualizations of complex scientific concepts, enabling interactive engagement with experiments, data, and laboratory procedures. Additionally, AR facilitates remote collaboration, reduces learning barriers, and improves safety by providing contextual instructions. Despite the promising benefits, challenges such as high costs, the need for specialized training, and technological limitations remain obstacles to widespread implementation. This article discusses the current state of AR in laboratories, its advantages, and the barriers to adoption, offering insight into the future of technology-enhanced learning in educational and research contexts.