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Artificial Intelligence (AI), particularly Generative Pretrained Transformer (GPT) models, has become one of the most influential and transformative technologies of the 21st century. They have shown immense potential to revolutionize research and education by enabling more efficient data analysis, generating high-quality content, and facilitating personalized learning experiences. As AI continues to evolve, its integration into these fields promises to enhance productivity, foster innovation, and democratize access to knowledge on a global scale. Impacts of Generative AI on the Future of Research and Education provides an in-depth understanding of the implication of AI and GPT in the context of research and education. It comprehensively analyzes the potential, challenges, and ethical considerations of AI integration in these sectors. Covering topics such as academic integrity, ethics, and special education, this book is an excellent resource for educators, researchers, academicians, policymakers, administrators, and more.
Generative AI in Teaching and Learning delves into the revolutionary field of generative artificial intelligence and its impact on education. This comprehensive guide explores the multifaceted applications of generative AI in both formal and informal learning environments, shedding light on the ethical considerations and immense opportunities that arise from its implementation. From the early approaches of utilizing generative AI in teaching to its integration into various facets of learning, this book offers a profound analysis of its potential. Teachers, researchers, instructional designers, developers, data analysts, programmers, and learners alike will find valuable insights into harnessing the power of generative AI for educational purposes.
This book increases the accessibility of philosophical concepts to a wider audience within medical education, translating ‘knowing’ to ‘doing.’ It prompts health professions educators and researchers to consider the dynamics and structure of contemporary issues within health professions education in new, philosophical ways. Through considering the practical implications of applying philosophical concepts to contemporary issues, the book recommends avenues for further research and pedagogical change. Individual educators are considered, with practice points for teaching generated within each chapter. Readers will acquire practical ways in which they can change their own practice or pedagogy that align with the new insight offered through our philosophical analysis. These practical recommendations may be systemic in nature, but the authors of this book also offer micro-level recommendations for practitioners that can be considered as ways to improve individual approaches to education and research.
Artificial intelligence is revolutionizing teacher education by offering innovative applications and strategies to enhance the learning experience for educators and students. From personalized learning platforms to intelligent tutoring systems, AI can transform traditional teaching methods. These intelligent technologies streamline administrative tasks while supporting the development of essential skills like critical thinking and faculty collaboration. As teacher education programs continue to integrate AI tools, future educators learn to harness data-driven insights and create engaging, effective learning environments. Exploring these applications further emphasizes the potential of AI to positively reshape the teacher education sphere. AI Applications and Strategies in Teacher Education explores the landscape of AI in training and supporting educators. The book serves educators seeking insights into effective utilization of AI in a professional setting and the integration of AI in teaching practices. This book covers topics such as educational technologies, higher education, and diversity and equity, and is a useful resource for academicians, teachers, professors, education professionals, data scientists, computer engineers, and researchers.
Containing papers carefully compiled for both their historical importance and contemporary relevance, Family Medicine: The Classic Papers brings together a team of experts, led by global family medicine leaders Michael Kidd, Iona Heath and Amanda Howe, who explain the importance of each selected paper and how it contributes to international health care, current practice and research. The papers demonstrate the broad scope of primary health care delivered by family doctors around the world, showcasing some of the most important research ever carried out in family medicine and primary care. This unique volume will serve as an inspiration to current family doctors and family medicine researchers and educators, as well as to doctors in training, medical students and emerging researchers in family medicine.