Future Learning with Large Language Models

Large language models (LLMs) are essentially artificial intelligence-based algorithms that have been trained on massive amounts of text data have gained expertise in understanding and generation of human language. They have a wide range of applications across various fields, and their capabilities are constantly evolving. Drawing insights from leading educators and researchers, this book delves into the intersection of artificial intelligence, cognition, and pedagogy and unpacks the essence of LLMs in revolutionizing the educational landscape. It explains how these models can be harnessed to create intelligent educational tools and support systems. Among the topics that covered in the book, but not limited to, are theoretical foundations on how LLMs can enhance learning, cognitive reinforcement, improving learning efficiency, and personalization in learning, applications across the curriculum, teacher training and support for LLM integration, using in assessment and evaluation, and measuring the impact and affordances of LLMs. The book acknowledges the challenges that come with integrating LLMs into education and will address the responsible development and deployment strategies to ensure that the models become powerful tools for good in the hands of educators. It explores potential research directions, such as the development of domain-specific models, and the creation of ethical frameworks for LLM use in education. As education enters an era of AI-enablement, this visionary book equips teachers, administrators, technologists, and policymakers with an authoritative guide to harnessing the power of large language models. Readers will discover how these advanced systems can expand access to quality education, tailor learning experiences, and nurture the innovators and critical thinkers of tomorrow, and glimpse into the future of learning and education with LLMs.