Full Description
This book explores AI ethics in digital pedagogy, offering a structured framework for responsible AI integration in education. The integration of Artificial Intelligence (AI) in education is transforming digital pedagogy by enhancing personalization, automating administrative processes, and improving accessibility. However, these advancements bring ethical concerns, including data privacy, bias, transparency, and equitable access. It covers ethical guidelines, data protection, AI-driven assessments, professional development, and strategies for inclusivity. By providing theoretical foundations, case studies, and policy recommendations, this book equips educators, policymakers, and researchers with the knowledge to foster AI-driven learning environments that are ethical, transparent, and inclusive.
Contents
Ethical Use of Artificial Intelligence in University Education: Re-sponsible Practice Frameworks and Practitioners' Perspective.- Artificial Stupidity: Cognitive Displacement in AI-Human Communication.- Responsible AI for Decision-Making in Education: A Framework Inspired by Enterprise AI Systems.- Artificial Intelligence (AI) in Classrooms: Promise, Pitfalls, and Possibilities.- AI as a Teaching Assistant: Enhancing or Replacing Human Interaction: A Critical Review.- Assessing the Role of Artificial Intelligence in Student Academics: A Catalyst or Hindrance of Growth?.- Integration of AI-Enhanced Pedagogy and Curriculum Development for the Technical Students.- Teacher Preparedness and AI Integration in K-12 STEM Curriculum: A Survey of Perceptions, Skill Sets and Training Requirements.- AI-empowered Competency-based Assessment- A Way Forward towards Bridging Innovation and Human Insight.- Personalized Learning with Al.- A Systematic Exploration of Generative AI's Role in Promoting Academic Integrity in the Education System.- Responsible Artificial Intelligence Integration in Education: An HRM Approach to Mitigating Risks and Maximising Benefits.- Can LLMs render puns accurately? A trial lesson with students in Translation Studies.- Crime Trend Analysis and Prediction in Los Angeles Using Statistical and Machine Learning Approaches.- Digital Divide and AI-Colonialism in Education: A Comparative Study of Global.- South and North through the Lens of International Human Rights Law.- Policy and Governance for AI in Education.
