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Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges
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Describes how the AI knowledge area was developed and integrated into the ACM/IEEE-CS/AAAI CS2023 undergraduate computer science curriculum, with rationale, challenges, and lessons learned.
Problem
Undergraduate CS curriculum guidelines (CS2013) gave AI little required coverage, and AI's rapid advancement makes it hard to design an AI curriculum that stays current for a decade across programs of all sizes.
Approach
Presents the rationale and design of the CS2023 AI knowledge area: 16 required CS Core hours for all majors, 18 KA Core hours, 12 knowledge units, integrated societal/ethical content tied to applications, and a minimal-core sunflower structure.
Key results
- CS2023 requires 16 classroom hours of AI in the CS Core for all CS majors, versus zero hours in CS2013 Tier 1.
- AI topics constitute 5.93% of the 270-hour CS2023 CS Core.
- The AI knowledge area is divided into 12 knowledge units, with 18 additional KA Core hours for AI-focused students.
Surprising findings
- The final AI curriculum is described by the authors as 'one-size-fits-none' because of conflicting stakeholder demands.
Limitations
- No universal agreement on AI curriculum contents among volunteers or stakeholders.
- Rapid AI progress threatens the ten-year currency of the curriculum.
- Core size constraints restrict topics for larger programs.
Experimental setup
Baselines: CS2013
Builds on: CS2013 curriculum guidelines
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