Next Generation AI-Driven Education
Leveraging Generative AI and Language Models
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Beschreibung
This book examines how artificial intelligence (AI), particularly generative AI (GenAI) and large language models (LLMs) such as ChatGPT, is integrated into educational methodologies. It demonstrates how these technologies, through personalized learning paths and scalable educational content, can substantially augment teaching and learning experiences. Additionally, this book provides actionable guidance and best practices for integrating GenAI and LLMs into educational settings, preparing stakeholders for future advancements in AI, and aiding educational institutions in adapting to and benefiting from emerging technologies. Last but not least, this book facilitates a balanced understanding of the ethical aspects of AI in education, promoting responsible and equitable use of these technologies. It serves as an essential reference for educators and AI professionals eager to understand and apply the latest AI advancements in education.
This book examines how artificial intelligence (AI), particularly generative AI (GenAI) and large language models (LLMs) such as ChatGPT, is integrated into educational methodologies. It demonstrates how these technologies, through personalized learning paths and scalable educational content, can substantially augment teaching and learning experiences. Additionally, this book provides actionable guidance and best practices for integrating GenAI and LLMs into educational settings, preparing stakeholders for future advancements in AI, and aiding educational institutions in adapting to and benefiting from emerging technologies. Last but not least, this book facilitates a balanced understanding of the ethical aspects of AI in education, promoting responsible and equitable use of these technologies. It serves as an essential reference for educators and AI professionals eager to understand and apply the latest AI advancements in education.
Integrates insights from diverse fields, including computer science, educational theory, psychology, and ethics Provides step-by-step guides and strategies for integrating AI tools into existing educational frameworks Proposes frameworks for addressing biases and ensuring equitable AI deployment in education
Autor*in
Anis Koubaa
Themen in »Next Generation AI-Driven Education«
Integrating AI in Education Strategies Generative AI Applications in Teaching Using Large Language Models in Educational Settings Ethical Considerations of AI in Schools Practical Guides for AI Tools in Education Innovations in AI-driven Learning Experiences Cross-disciplinary Perspectives on Educational Technology AI and Personalized Learning in Education Future Trends in AI for Educational Enhancement AI Technology for Curriculum Development AI in Assessment and Feedback Mechanisms Adaptive Learning Systems Powered by AI