Presentations of Best Practices: New Approach To Teaching Computer Science: Ai and Teacher Curated Learning and Ai Learning

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Keywords: AI Teaching, AI Learning, Computer Science Education

Abstract: New approach to teaching computer science: AI and teacher curated learning and AI Learning

Early exposure to computer science is crucial, especially for underrepresented groups. Global Education Monitoring Report 2023 by UNESCO highlights disparities, with male, female, and economically disadvantaged students less likely to enrol in foundational computer science courses. To bridge this gap, teachers can access free, self-paced online integrated computing courses with micro-credentials. The provided list of activities includes lesson plans, requiring only a computer and no prior knowledge. Embracing integrated computing, AI teaching, and AI learning ensures increased computer literacy for all university students, addressing the imperative of keeping pace with technological advancements in education. AI and teacher-curated learning, along with AI-assisted education, significantly enhance the overall educational experience. Teachers collaborate with artificial intelligence to tailor content according to each student's specific needs. This synergy fosters a dynamic learning environment where students actively engage with robots and AI tools to boost their productivity. The collaboration extends to personalized and customized learning experiences, guided by artificial intelligence. Students benefit from tailored educational pathways that address their unique strengths and areas for improvement. The curriculum itself is crafted collaboratively with AI assistance, ensuring a comprehensive and adaptive approach to education. By seamlessly integrating artificial intelligence into teaching methodologies, educators empower students to navigate a technologically advanced world while fostering a personalized and effective learning journey. The symbiosis of human and AI expertise creates an educational landscape that is both innovative and tailored to individual learning styles.