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Ethical Decision-Making Skills
Students will learn to identify and address ethical, bias, and sustainability issues in AI education. This includes critically analyzing AI systems, promoting fairness, transparency, and accountability, and advocating for the ethical use of AI in educational settings.
Curriculum Integration and Instructional Design
Students will learn to integrate AI technologies into the educational curriculum by aligning AI-based resources and activities with learning objectives, creating engaging and interactive experiences, fostering computational thinking and problem-solving skills through AI.
Data Literacy and Analysis for Educational Insights
Participants will gain data literacy and analysis abilities needed to use AI in education. This involves AI tools to collect, analyse and understand educational data, extract valuable insights to influence decision-making, and tailor learning experiences depending on student performance and needs.
Problem-Solving with AI Tools
Students will receive practical experience with several AI tools and platforms, which includes administrative operations, and assessment and feedback. This practical experience will help in using AI to solve educational problems.
