Course design in the age of AI

Research from arXiv explores a model of learning-by-doing and course design, analyzing the impact of artificial intelligence (AI) on skill development. The model suggests that while AI can reduce effort, it may lead to less skill development if tasks are not strategically redesigned. Teachers must adapt course structures to encourage effort and skill acquisition, particularly for students who might opt for AI delegation over personal work.

Why it matters

This research highlights a critical challenge for educational institutions and organizations focused on human capital development: the potential for AI to disincentivize active learning and skill building. Strategic planning for talent development must account for how AI tools are integrated to ensure they enhance, rather than detract from, the acquisition of core competencies and deep understanding.

Key insights

• A model of learning-by-doing and course design was developed to study AI's impact on skill acquisition.
• Students can choose to undertake tasks requiring costly effort (building skill) or delegate them to AI (requiring no effort, building no skill).
• Without AI, course design typically involves earlier, more effort-intensive tasks and later, more skill-intensive tasks.
• With AI, course redesign is necessary for early tasks to incentivize student effort, potentially leading to reduced overall skill development if not managed.
• If AI complements effort, advancements in AI quality may accelerate learning for high-skill students, but the impact on low-skill students is not fully detailed in the provided abstract.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2607.18735