Applied AI for Computer Science Education: Planning and Assessment

Are you a computer science or informatics teacher looking for efficient ways to manage your workload and enhance student engagement? Modern AI tools offer powerful solutions for educators facing heavy planning and assessment loads. This course provides foundational knowledge of generative AI and practical techniques for integrating these tools into the educational workflow. You will move beyond basic searches to using AI as a sophisticated virtual assistant for curriculum design, material generation, and objective student evaluation. What you'll learn: * Understand the fundamental principles of Large Language Models (LLMs) and their capabilities in an educational context. * Master prompt engineering techniques to generate precise, accurate, and relevant lesson plans and teaching materials. * Apply AI methods to design varied assessment questions, analyze student code snippets, and provide targeted, constructive feedback. * Configure AI tools to act as virtual teaching assistants for coding exercises and complex technical explanations. * Practice ethical guidelines for using AI in the classroom, focusing on data privacy and mitigating bias in generated content. The course begins by defining core AI concepts and progresses through practical, step-by-step written exercises focused on curriculum development and student interaction. It emphasizes applying prompt structures to achieve specific instructional goals. This course is designed for current or future Computer Science, Informatics, and technical subject educators who are new to applying AI tools in their teaching practice. No prior experience with AI development is required. Start optimizing your teaching efficiency and focusing more on student success today.