Information Science Reference Supporting Personalized Learning and Students' Skill Development With AI

The integration of artificial intelligence (AI) into education has the potential to fundamentally change pedagogical practices, with a positive impact on all aspects of teaching and learning. It is possible to design personalized learning paths for each learner, including those with special needs or who speak different languages, by adjusting the content and pace according to their strengths and weaknesses. AI tools, such as virtual assistants and interactive educational applications, can give immediate feedback to learners, which is of paramount importance to keep them engaged and encourage continuous learning. Similarly, teachers can view AI-based data analytics and recommendations to improve their teaching methods and adapt their strategies in real time. Supporting Personalized Learning and Students' Skill Development With AI offers an in-depth exploration of how to integrate AI technology into pedagogical practice to revolutionize education by exploring all aspects of AI in education, from intelligent tutoring systems that tailor lessons to the needs of each learner, to automating administrative tasks that save teachers' time. While addressing the ethical and practical challenges of this transformation, it highlights the urgent need to equip educators with the skills they need to benefit from AI. Covering topics such as autonomous learning, emotion detection, and digital literacy, this book is an excellent resource for teachers, school administrators, educational decision-makers, computer developers, professionals, scholars, academicians, researchers, and more.