Buch, Englisch, 186 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: River Publishers Series in Rapids in Computing and Information Science and Technology
Buch, Englisch, 186 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: River Publishers Series in Rapids in Computing and Information Science and Technology
ISBN: 978-87-438-0924-1
Verlag: River Publishers
This River Rapid provides a timely analysis of the state of the art and future perspectives of artificial intelligence (AI) in education. Drawing on international expertise and successful case studies, it explores both the opportunities AI creates for teaching and learning and the challenges posed by its uncontrolled use by students and schoolchildren.
The book is structured into seven research-analytic chapters authored by leading scholars from Norway, Poland, Ukraine, and the United States. Together, they present a comprehensive picture of AI’s growing role in educational systems worldwide. Topics include:
- An overview and comparative review of large language models.
- Analysis of successful AI applications in education based on global best practices.
- Strategies for bilingual education supported by AI tools.
- Risks of unsupervised AI use by pupils and students, both in education and on social media.
- The relationship between machine learning and human learning, with attention to pedagogical advances inspired by AI.
- Future directions for AI in enhancing teaching and learning processes.
- The unique dynamics of digital transformation and AI adoption in the Ukrainian education system.
By combining international perspectives with focused case studies, AI in Education Systems provides both theoretical insights and practical strategies for educators, policymakers, and researchers. It highlights AI’s potential to significantly improve learning outcomes while addressing ethical concerns, pedagogical challenges, and the importance of guiding its responsible use.
Zielgruppe
Academic, Postgraduate, and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. General Characteristics of the Large Language Models and Comparative Analysis 2. Analysis of Successful AI Applications in the Education Environment 3. AI and Digital Evolution in the Education System of Ukraine 4. Best Strategies for Bilingual Education: How Can We Explain Their Success? 5. Challenges and Risks of Uncontrolled AI Use by Students and School Children 6. From Machine Learning to Human Learning: What Can Pedagogy Learn from AI Successes 7. Perspectives of AI Applications for Improving Learning and Teaching Processes




