Gen AI-assisted Agile Course, Project-Based Teaching and Learning

1. Auflage 2025
ISBN: 978-1-041-13959-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 170 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 470 g

This title represents an essential resource for understanding the evolving landscape of AI-augmented pedagogy, examining the transformative effects of generative artificial intelligence (GenAI) on education through the lens of agile course design and project-based learning.

Through a detailed analysis of diverse empirical case studies from eight countries between 2015 and 2024, the authors effectively illustrate the dual impact of GenAI on education, academic integrity, and teacher autonomy. They demonstrate how GenAI can enhance personalized STEM education and STREAM (Science, Technology, Reading and Writing, Engineering, Arts and Mathematics) instruction, as well as project-based learning, while simultaneously presenting significant challenges. They provide a nuanced assessment of the opportunities and disruptions introduced by GenAI and offer concrete pedagogical strategies for teaching practitioners.

This book serves as a vital reference for scholars in GenAI, educational technology and curriculum, and instruction. It also provides practical, ready-to-implement pedagogical approaches for pre-service teachers in higher education and primary and secondary schools.

Zielgruppe

Postgraduate and Professional Reference

Autoren/Hrsg.

Xu, Huifen

Lu, Jijian

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Lehrerausbildung
• Sozialwissenschaften Pädagogik Pädagogik Bildungssystem Curricula: Planung und Entwicklung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie

Inhaltsverzeichnis

1 Introduction: GenAI-assisted education 2 GenAI-assisted agile course design and practice 3 Design and practice of project-based teaching supported by GenAI 4 GenAI-assisted project-based learning design & practice 5 GenAI-assisted project-based evaluation design and practice 6 Prospects: generative AI-assisted course design for teaching and learning

Über Autor(innen)

Jijian Lu is an associate professor at Zhejiang Philosophy and Social Science Laboratory for Research in EarlyDevelopment and Childcare, Hangzhou Normal University. He specializes in technology-assisted mathematics, STEM, and teacher education.

Huifen Xu is a PhD candidate at Institute of China Innovation and Entrepreneurship Education, Hangzhou Normal University. She specializes in technology-assisted language teaching, STEM, and teacher education.