Transforming Teaching with AI through Practice and Personalization

Erscheinungsjahr 2027
ISBN: 978-3-032-35567-6
Verlag: Springer

Buch, Englisch, 356 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Advances in Artificial Intelligence in Education

This book explores how artificial intelligence is reshaping general education, particularly in relation to teaching practices, curriculum development, and teacher professional learning. Rather than treating AI as a purely technological tool, the chapters reflect on how it functions as a catalyst for pedagogical transformation - inviting educators to rethink how learning is designed, delivered, and experienced in everyday classrooms.

The work examines a wide range of AI applications in school settings - from the generation of didactic content and asynchronous learning support to creative integrations in storytelling, design, and the arts. At the heart of many chapters is a common concern: how to ensure that AI enhances, rather than replaces, human-centered teaching. Teacher preparation, ethical reflection, and the evolving role of the educator are all recurring themes, as is the recognition that AI implementation must be context-sensitive and pedagogically sound. By bringing together research and practice, this volume highlights how general education is not only adapting to new technologies, but also redefining itself through them. The book offers both theoretical insight and practical examples of how educators are using AI to personalize learning, foster creativity, and navigate the complex demands of contemporary schooling.

Zielgruppe

Research

Autoren/Hrsg.

Daniela, Linda

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Sozialwissenschaften Pädagogik Pädagogik Bildungssystem Bildungspolitik, Bildungsreform
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Methoden des Lehrens und Lernens
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Allgemeine Didaktik
• Geisteswissenschaften Kunst Kunst, allgemein

Inhaltsverzeichnis

PART I.- From Technical Proficiency to Ethical Readiness: Mapping Teacher Professional Development Programs with UNESCO’s AI Competency Framework for Teachers.- Teachers and AI. Perceptions as Catalysts for Competence within the UNESCO Framework.- From Chalkboards to Chatbots: Preparing Educators for AI Integration.- Teaching with a Tech Touch: AI's Role in Supporting Educators in Flanders.- Using Generative Artificial Intelligence to Support Asynchronous Learning.- PART II AI APPLICATION IN TEACHING.- Negotiating school frameworks for AI implementation: RAG architectures in personalized contexts.- Enhancing Backward Course Design with Generative AI: A New Era in Instructional Development.- Utilizing Generative Artificial Intelligence for Creating Didactic Process Maps and Facilitating Innovations in Teaching.- ChatGPT in Problem Creation by Pre-Service Teachers: A Tool for Developing Didactic-Mathematical Knowledge.- Exploring Preservice Teachers' Experiences and Perceptions of Integrating Generative AI in Science Teaching Method Courses: A Quantitative Ethnographic Study through Epistemic Network Analysis Technique.- Leveraging Generative AI in the Classroom: Transforming Algal Bloom Research Tools into Hands-On Learning Experiences.- PART III CREATIVITY AND INCLUSIVITY WITH THE HELP OF AI.- Enhancing Children's Creativity Through Practical AI Integration in Painting, Music, and Soundscapes.- Storytelling Meets AI: Creating Engaging Educational Content.- Use of Generative Artificial Intelligence in the co-creation process of formal product design. An experience in Design Engineering.- Application of (AI) Processes within the Subject of Landscape Painting to Generate Supplementary Bibliography.- When Students Design for Students: Using ChatGPT for Early Evaluation of an Inclusive Educational App.

Über Autor(innen)

Professor Linda Daniela is a senior researcher, Dean of the Faculty of Education, Psychology and Art, Chair of the Council for PhD Defence in Education at the University of Latvia. She also serves as an expert in Education at the Council of Sciences of the Republic of Latvia. Her expertise spans Technology enhanced learning, Smart Pedagogy, Virtual Education, Smart Education, Digital Learning Materials, Educational technologies for learning, Educational robotics, Educational processes and solutions for reducing social exclusion from the educational processes, and Behavioral problems. Professor Daniela is an author and co-author of more than 80 publications about processes in all dimensions of education.