Synopsis Of Ai And The Future Of Education Teaching In The Age Of Artificial Intelligence
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AI and the Future of Education
Clear away the fog surrounding AI in education—and regain your peace of mind Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. AI and the Future of Education is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can be used to enhance education, you can let go of anxiety and uncertainty, and learn to embrace artificial intelligence. It's true that, along with tremendous opportunities, AI presents some challenges for the field of education. In this book, Priten Shah, a Harvard M.Ed. with a robust background in educational innovation, helps you face these challenges head on, so you can gain the knowledge and skills you need to use AI effectively in your classroom. Thanks to this thorough consideration of ethical considerations and practical approaches, you can develop your own strategy for leveraging AI in administrative tasks, lesson design, professional development, and beyond. Understand what AI and machine learning are, and learn about new developments like ChatGPT Discover strategies for engaging students more fully using AI Automate administrative tasks, grading and feedback, and assessments Use AI in innovative ways to promote higher-order thinking skills Examine ethical considerations of AI, including the achievement gap, privacy concerns, and bias For K-12 educators, as well as leaders and policymakers who want to understand the role of technology in education, AI and the Future of Education is a valuable resource that can change AI from an unknown entity to an indispensable tool.
Artificial Intelligence for Education
What learning, teaching, and education will be in the next future is an open question. Nevertheless, believing that an increasing prevalence of AI may not influence the education field seems objectively unlikely. In recent years, the new renaissance of AI has stimulated discussion on how advances in AI can influence the educational sector and the future educational policies and the impact of AI on Technology-Enhanced Learning (TEL). On the other side, the attention of the education sector in artificial intelligence is complemented by the consideration that, since the early days of AI, researchers have shown for the education sector, which has often seen education as one of the preferred application areas. The interaction between the AI and TEL research fields led to the investigation of how the advance in AI could support the development of flexible, inclusive, personalized, engaging, and effective learning tools. Besides, research in this area could be a powerful tool to open the "learning black box" by providing a deeper understanding of how learning occurs. The proposed Research Topic aims to gather contributions that provide a comprehensive picture of how AI is changing educational practices and how the key stakeholders in the educational community (i.e., students, teachers, faculty, and families) perceive this ongoing change. Relevant topics include (but are not limited to): ● AI applications in real-world educational settings ● Intelligent Tutoring Systems ● Adaptive learning environments ● Learning design and AI ● Students profiling: definition of the student model and ethical implications ● Intelligent techniques for objective and integrated students evaluation in TEL ● Teachers' competencies for effective integration of AI into Education ● Teachers’ perceptions of AI: prejudices and attitudes ● The role of cognitive architectures in Education ● Serious games and AI ● Social robotics in Education
Application of AI in the Teaching and Learning of English as a Foreign Language (EFL)
The application of artificial intelligence (AI) in the teaching and learning of English as a Foreign Language (EFL) transforms traditional educational practices by offering more personalized, efficient, and interactive learning experiences. AI-powered tools enable learners to receive instant feedback, engage in conversational practice, and tailor content to individual learning styles. AI facilitates adaptive learning platforms that analyze students’ progress and adjust difficulty and content type. For educators, AI can assist in automating administrative tasks, assessing student performance, and identifying areas for learner support. Further research may enable more data-informed and responsive teaching strategies in EFL contexts. Application of AI in the Teaching and Learning of English as a Foreign Language (EFL) explores the application of AI in the teaching and learning of EFL. Through an applied linguistics lens, this publication examines how AI technologies transform traditional EFL methodologies, addressing the potential of AI to personalize learning, optimize language assessment, and facilitate language acquisition, while also tackling challenges, ethical considerations, and the need for interdisciplinary collaboration. This book covers topics such as ethics and law, lexicology, and gamification, and is a useful resource for educators, linguists and language experts, computer engineers, academicians, researchers, and scientists.