AI Applications and Pedagogical Innovation
by Viktor Wang
Publisher: IGI Global Scientific Publishing
Book Details
| Print ISBN | 9798337350929 |
| eText ISBN | 9798337350950 |
| Publisher | IGI Global Scientific Publishing |
| Publishing Year | 2025 |
| Language | English |
| Pages | 512 |
The academic book AI Applications and Pedagogical Innovation, edited by Viktor Wang, investigates how artificial intelligence tools integrate into modern learning environments to personalize instruction and increase student engagement. Designed for educational researchers, campus administrators, and instructional designers, the volume addresses structural changes across postsecondary instruction and academic research.
The thematic coverage spans several operational dimensions of educational technology. Specific sections evaluate gamification, automated content creation, and digital transformation alongside practical methods for standardized testing and feedback. Additional sections examine pressing issues surrounding equity and system access, encouraging institutional leaders to build inclusive AI-driven solutions across diverse disciplines.
Indexed in SCOPUS, this volume supplies grounded analytical perspectives for academicians, educators, and policymakers who evaluate computational software deployment in classroom instruction. The text provides a reference for institutional decision-makers who are shaping strategic policy around adaptive educational technologies across varied academic sectors.
Table of Contents
Chapter 1: AI in Higher Education in the Context of Open and Distance Learning: Opportunities and Challenges
Chapter 2: Artificial Intelligence and the Transformation of Career Technical Education
Chapter 3: Generative Artificial Intelligence Practices for Doctoral Student Engagement
Chapter 4: Generative AI in Academic Research: A Practical Guide for Scholars
Chapter 5: AI-Driven Content Creation: Revolutionizing Open Educational Resources
Chapter 6: AI and Gamification Engaging Students in New Ways
Chapter 7: AI in Assessment from Standardized Testing to Dynamic Feedback
Chapter 8: AI Tools for Enhancing Student Engagement
Chapter 9: Exploring the Authenticity of AI-Generated Texts as Resources for Language Teaching and Learning: Challenges and Opportunities
Chapter 10: Navigating AI in Teacher Education: Exploring the Interplay Between Artificial Intelligence Anxiety and Creative Cognition
Chapter 11: Leveraging Sports, AI, and Gamification for Transformative Learning: A Framework for Active, Inclusive, and Future-Ready Education
Chapter 12: The Role of Derivatives in Machine Learning: Optimization, Applications and Ethical Considerations for the Education Field
Chapter 13: Transforming English Language Learning in South Asia: Role of AI Tools in India
Chapter 14: AI and Emerging Digital Worlds as a Tool, not a Replacement
Chapter 15: AI-Powered Knowledge Management in Curriculum Design and Content Delivery
Chapter 16: Personalized Learning Through AI on the Power of Tailored Education
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