Module #1 Introduction to AI in Education Overview of AI applications in education, importance of ethics, and course objectives
Module #2 AI in EdTech:Benefits and Concerns Exploring the benefits and concerns of AI-powered educational tools, including personalized learning and biased algorithms
Module #3 Ethics of AI:Fundamentals and Principles Introduction to ethical principles in AI development, including fairness, transparency, and accountability
Module #4 Privacy and Data Protection in EdTech Understanding the importance of protecting student data and ensuring privacy in AI-powered educational tools
Module #5 Fairness and Bias in AI-powered Assessments Examining issues of bias and fairness in AI-driven assessments and grading systems
Module #6 Transparency and Explainability in AI Decision-Making The importance of transparency and explainability in AI decision-making processes, including model interpretability
Module #7 Autonomy and Agency in AI-driven Learning Exploring the tension between AI-driven learning and human autonomy, including issues of control and agency
Module #8 Case Study:AI-powered Tutoring Systems Analyzing the ethical implications of AI-powered tutoring systems, including potential biases and benefits
Module #9 Inclusion and Accessibility in AI-powered Education Ensuring that AI-powered educational tools are inclusive and accessible for all students, including those with disabilities
Module #10 AI-generated Content and Academic Integrity The ethical implications of AI-generated content, including issues of authorship and academic integrity
Module #11 Human-Centered Design in EdTech The importance of human-centered design principles in developing AI-powered educational tools
Module #12 Teachers Role in AI-driven Education Exploring the changing role of teachers in AI-driven education, including the importance of critical thinking and empathy
Module #13 Parental Consent and Student Data Understanding the importance of parental consent and student data protection in AI-powered educational tools
Module #14 Regulatory Frameworks and Governance Examining existing regulatory frameworks and governance structures for AI in education
Module #15 Ethical Considerations in AI-powered Special Education Exploring the unique ethical considerations in AI-powered special education, including issues of accessibility and inclusivity
Module #16 AI-driven Education and the Digital Divide The potential impact of AI-driven education on the digital divide, including issues of access and equity
Module #17 Case Study:AI-powered Early Childhood Education Analyzing the ethical implications of AI-powered early childhood education, including issues of developmental impact
Module #18 Ethical AI Development in EdTech Best practices for ethical AI development in EdTech, including transparency, accountability, and inclusivity
Module #19 Addressing Ethical Concerns in AI-powered Education Strategies for addressing ethical concerns in AI-powered education, including stakeholder engagement and iterative design
Module #20 The Future of AI in Education:Trends and Directions Exploring the future of AI in education, including emerging trends and directions
Module #21 Ethical Leadership in AI-driven Education The importance of ethical leadership in AI-driven education, including understanding the implications of AI-powered decision-making
Module #22 Collaboration and Partnerships in Ethical AI Development The importance of collaboration and partnerships in developing ethical AI-powered educational tools
Module #23 Addressing Global Inequities in AI-powered Education Strategies for addressing global inequities in AI-powered education, including cultural sensitivity and contextual awareness
Module #24 Ethical Considerations in AI-powered Lifelong Learning Exploring the ethical considerations in AI-powered lifelong learning, including issues of continuous skill development
Module #25 Course Wrap-Up & Conclusion Planning next steps in Ethics of AI in Educational Tools career
