The "Artificial Intelligence (AI) Driven Assessment and Feedback in Education" course explores the application of AI technologies in educational assessment and feedback systems. Across ten modules, participants will delve into topics such as the fundamentals of AI-driven assessment and feedback, fairness and equity considerations, transparency and explainability requirements, privacy and data security concerns, customization and personalization capabilities, accountability and responsibility frameworks, stakeholder involvement, continuous improvement strategies, and educating stakeholders on ethical AI practices. The course also examines future trends and emerging ethical issues shaping AI assessment in education.

Who This Course Is For: This course is designed for educators, educational administrators, policymakers, curriculum developers, instructional designers, and individuals interested in leveraging AI technologies to enhance educational assessment and feedback processes. Whether you are seeking to implement AI-driven solutions in educational settings, navigate ethical considerations surrounding AI adoption, or stay informed about emerging trends in AI assessment, this course provides valuable insights and knowledge tailored to education professionals and stakeholders.