CLO1. Explain the key ethical principles that should guide the integration of AI in educational settings.

CLO2. Analyze real-world scenarios involving the integration of AI in education and identify potential ethical dilemmas or challenges related to issues such as algorithmic bias, data privacy, and the impact on human agency and autonomy.

CLO3. Apply ethical frameworks to analyze and evaluate the appropriateness of specific AI-powered educational technologies or practices.

CLO4. Evaluate the appropriateness and effectiveness of different ethical frameworks in guiding the design, implementation, and oversight of AI-powered educational technologies.

Privacy and Data Protection will be addressed by emphasizing the importance of privacy in educational settings, examining data collection and storage practices in AI-driven education, and discussing ethical considerations surrounding student data privacy and consent. 

Accountability and Transparency are also key topics, highlighting the ethical responsibilities of developers, educators, and policymakers in AI education, as well as accountability mechanisms for AI-driven educational systems. 

Equity and Accessibility will be examined, addressing equity issues in AI education and ensuring accessibility for all students in AI-driven learning environments, along with ethical considerations in bridging the digital divide through AI integration. 

Intellectual Property and Copyright will cover Intellectual property rights in AI-generated content, exploring the ethical use of AI tools for content creation and distribution, as well as balancing innovation with respect for intellectual property rights in education. 

The course will also focus on Ethical Decision-Making in AI Integration, presenting ethical decision-making frameworks in educational contexts through case studies and group discussions on ethical dilemmas in AI integration, and strategies for fostering ethical AI practices in educational institutions. 

Finally, Emerging Ethical Issues will be explored, addressing emerging ethical challenges in AI education, ethical considerations in using emerging AI technologies (e.g., virtual reality, adaptive learning systems), and future trends and implications for ethical AI integration in education.