Introduction
The article titled The Future of Problem Solving with Data and Intelligence discusses the increasing importance of artificial intelligence (AI) and data science education in the United States. It emphasizes the need to double the number of undergraduates pursuing computational-related degrees and to enhance the curriculum of these programs to include fundamental concepts in AI and data science. The publication is a collaborative effort by Catherine Born and Leigh Ann DeLyser, published by CSForAll in 2021. This resource is crucial for educators, policymakers, and institutions aiming to improve educational outcomes in technology and data literacy.
Key Features:
- Focus on AI and Data Science: The article highlights the significance of integrating AI and data science into educational programs.
- Target Audience: Aimed at educators, administrators, and policymakers in the K-12 education system.
- Practical Applications: Provides insights into how educational institutions can adapt their curricula to meet the demands of a technology-driven workforce.
Use Cases:
- Curriculum Development: Schools can use this information to develop or enhance their STEM programs.
- Policy Making: Policymakers can leverage the findings to advocate for funding and resources for AI education initiatives.
- Professional Development: Educators can seek training and resources to better teach AI and data science concepts to students.