Book Title:
AI in Education: Revolutionizing Learning, Empowering Educators, and Building Ethical Futures
Target Audience:
Educators (K-12 & Higher Ed), Administrators, EdTech Developers, Policymakers, Teacher Trainers, Researchers
Part I: Foundations of AI in Education
1. Introduction: The AI Revolution in Learning
- Defining AI, Machine Learning (ML), & Generative AI
- Historical Context: From PLATO to ChatGPT
- Why Now? Convergence of Data, Compute Power, and Educational Needs
- Scope & Vision of the Book
2. Key AI Technologies Demystified
- Machine Learning (Supervised/Unsupervised/Reinforcement)
- Natural Language Processing (NLP) in Education
- Computer Vision for Learning Environments
- Generative AI (LLMs, Image/Video Generators)
- Adaptive & Predictive Systems
3. The Changing Educational Landscape
- Global Challenges in Education (Equity, Teacher Shortages, Skills Gap)
- How AI Addresses Core Educational Problems
- Limitations: What AI Cannot Replace
Part II: AI in Teaching & Learning Practice
4. Personalized Learning & Adaptive Systems
- AI-Powered Learning Pathways
- Intelligent Tutoring Systems (ITS)
- Real-Time Feedback & Scaffolding
- Case Studies: Duolingo, Khan Academy, Carnegie Learning
5. Automating Administration & Enhancing Teaching
- AI for Grading & Assessment (Writing, Math, Coding)
- Lesson Planning & Resource Curation Assistants
- Administrative Task Automation (Scheduling, Reporting)
- Teacher PD with AI Coaches
6. Generative AI in the Classroom
- Responsible Use of ChatGPT, Gemini, Claude
- Prompt Engineering for Educators & Students
- Designing AI-Augmented Assignments
- Mitigating Plagiarism & Fostering Critical Thinking
7. Inclusive & Assistive AI
- Accessibility Tools (Speech-to-Text, Language Translation)
- AI for Special Education (Emotion Recognition, Custom Interventions)
- Bridging Socioeconomic & Language Divides
- Ethical Considerations for Equity
Part III: Systemic Transformation & Ethics
8. AI-Driven Assessment & Analytics
- Beyond Tests: Competency-Based Evaluation
- Predictive Analytics (Dropout Risk, Skill Gaps)
- Learning Analytics Dashboards
- Ethical Use of Student Data
9. Redesigning Institutional Systems
- AI in Admissions & Enrollment Management
- Smart Campus Infrastructure
- Curriculum Design & Future-Proofing Skills
- Policy Development for AI Integration
10. The Critical Ethics Debate
– Bias & Fairness in Algorithms (Case Studies)
– Data Privacy (GDPR, FERPA, COPPA Compliance)
– Transparency vs. “Black Box” Dilemmas
– Digital Divide & Access Inequality
11. Teacher & Student Agency in the AI Era
– Redefining Educator Roles: From Lecturer to Facilitator
– Developing AI Literacy for Students
– Human-Centered AI: Keeping Relationships Core
– Student Data Ownership & Digital Citizenship
Part IV: Implementation & Future Horizons
12. Building an AI-Ready Institution
– Infrastructure Requirements (Data Systems, Security)
– Change Management Strategies
– Professional Development Frameworks
– Cost-Benefit Analysis & ROI
13. Global Case Studies & Lessons Learned*
– National Strategies (Singapore, Estonia, Finland)
– School District Implementations (Successes & Failures)
– Higher Ed Innovations (Georgia Tech’s Jill Watson, MIT Open Learning)
14. Emerging Trends & Future Visions
– AI + AR/VR: Immersive Learning
– Blockchain for Credentialing
– Neuroadaptive Learning Systems
– Artificial General Intelligence (AGI) in Education: Science Fiction?
15. Conclusion: Co-Creating the Future
– Key Takeaways for Stakeholders
– Call to Action: Ethical Frameworks & Continuous Dialogue
– Envisioning Human-AI Collaborative Classrooms
Appendices:
- A: Glossary of AI Terms
- B: AI Tool Evaluation Checklist
- C: Sample AI Policy Framework for Schools
- D: Further Reading & Resources (Journals, Conferences, NGOs)
Index
Key Features Integrated Throughout:
- “Voices from the Field” sidebars (interviews with teachers, admins, students)
- “Ethical Dilemma” discussion prompts in each chapter
- “Try This” practical application exercises
- Research Spotlights (key studies summarized)
- Future-Proofing Tips for evolving technologies
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