Table of Contents:
  • Foreword
  • Preface
  • Acknowledgment
  • Chapter 1. Establishing the Cornerstones of Ethical AI in Education
  • Chapter 2. Standardization Without Losing Diversity and Blocking Innovations
  • Chapter 3. AI Standards for Data-Informed Assessment and Evaluation
  • Chapter 4. Ethical AI in Engineering Education: A Case Study on Mindset, Behaviors, and AI Literacy
  • Chapter 5. Ensuring Fair Representation of Neurodiverse Stakeholders Within the AI-Learning Ecosystem
  • Chapter 6. Personalizing Learning Pathways Through Standards-Based AI: How AI Standards Support Personalized Learning Journeys
  • Chapter 7. AI Literacy in Code: Identifying and Explaining ChatGPT-Generated Programs in Educational Settings
  • Chapter 8. Toward a Responsible and Inclusive AI-Learning Ecosystem
  • Compilation of References
  • About the Contributors
  • Index.