Upon successful completion of the course, the student should be able to:

• Define intelligence and its features from different perspectives
• Define learning, teaching, instruction, training, and education
• Tell about the foundations of AI in education
• Tell about the importance of data science and AI in education
• Identify the differences between Artificial Intelligence vs Human Intelligence
• Tell about the current status and application areas of AI
• Tell about the history of artificial intelligence
• Describe AI system in education
• List different application areas of AI systems
• List different AI technologies
• Explain the impact of AI in education
• Recognize the basic concepts of Artificial Intelligence and its applications in education
• Tell about intelligent learning systems, Intelligent feedback and learning analytics
• Tell about big data applications in education, and learning analytics
• Tell about ethical, social, and policy considerations for AI in education
• Tell about adaptive learning and adaptive testing
• Use AI tools for grading, lesson planning, content generation, learning material development
• Develop prompt design and effective classroom use cases
• Prepare a PowerPoint presentation with narration on any of the topic from the course outline
• Develop program segments using logical programming languages
• Discuss the future of AI in education