Leading and Lagging Strand Coordination by DNA Polymerase as Quantum Entanglement in DNA Computing Systems Linked to Artificial Intelligence
Abstract
Chur Chin
Artificial Intelligence (AI) holds transformative potential across numerous sectors, with Library and Information Science (LIS) education emerging as a key area for its application. In the realm of teacher professional development (TPD) for LIS educators, AI can facilitate personalized, data-driven learning pathways, support the development of adaptive instructional materials, and enhance the accessibility and efficiency of training initiatives. This paper examines the evolving role of AI in LIS teacher professional development, exploring how AI-powered tools are redefining educator preparation, promoting continuous learning, and responding to the dynamic demands of the digital information environment. By analysing current advancements in AI and its integration into LIS education and training programs, this study identifies the opportunities, challenges, and broader implications for the future of professional development in the LIS field.
