Prompt engineering and generative AI applications for teaching and learning
Document Type
Book
Source of Publication
Prompt Engineering and Generative AI Applications for Teaching and Learning
Publication Date
3-13-2025
Abstract
By creating specific prompts, educators can harness the power of AI models to generate tailored content, provide instant feedback, and simulate real-world scenarios for deeper learning engagement. Whether it's creating personalized lesson plans, generating creative writing prompts, or assisting with problem-solving exercises, generative AI creates an interactive approach to education. As AI evolves, its potential to support both educators and students in more efficient, adaptive, and inclusive ways may transform the future of learning. Prompt Engineering and Generative AI Applications for Teaching and Learning explores generative AI's impact on education, navigating the complexities of its integration into teaching and learning strategies. It examines the complex dynamics between AI technology and educational methodologies, offering new perspectives on personalized education, the art of prompt engineering skills, and the role of generative AI in research. This book covers topics such as ethics and law, higher education, and personalized learning, and is a useful resource for academicians, researchers, computer engineers, and data scientists.
DOI Link
ISBN
[9798369373323, 9798369373347]
First Page
1
Last Page
664
Disciplines
Education
Keywords
Generative AI, Prompt engineering, Personalized education, Educational methodologies, AI integration
Scopus ID
Recommended Citation
ElSayary, Areej, "Prompt engineering and generative AI applications for teaching and learning" (2025). All Works. 7281.
https://zuscholars.zu.ac.ae/works/7281
Indexed in Scopus
yes
Open Access
no