Preparing students for a future shaped by artificial intelligence through comprehensive curriculum integration
Dedicated courses covering AI fundamentals, machine learning, natural language processing, and robotics for technology-focused programs.
Integration of AI in automation, customer service, and data-driven decision-making contexts.
Exploration of AI in diagnostics, personalized medicine, and healthcare management systems.
Application of AI in analyzing historical texts, exploring patterns in literature, and studying linguistics through natural language processing.
Understanding how AI systems can reflect and perpetuate biases, particularly in sensitive areas like hiring, law enforcement, and healthcare.
Exploring ethical considerations surrounding data collection, storage, and use, including personal information protection and surveillance risks.
Examining AI's influence on labor markets, political systems, and societal structures.
Using AI tools for literature reviews, data analysis, and hypothesis generation.
Implementing AI-powered tools for practice problems, quizzes, and personalized assessments.
Developing skills to assess AI capabilities, limitations, and potential biases in problem-solving contexts.
The integration of AI literacy into curriculum goes beyond technical knowledge. Students need to develop: