Across universities nationwide, attitudes toward artificial intelligence in academics are deeply divided by discipline. Colleges of Business and Engineering are leading the charge, integrating AI-driven tools into coursework on data analytics, marketing automation, and software development to prepare students for a tech-driven workforce. Many professors now require students to learn prompt engineering, use AI for case studies, and analyze real-world applications of machine learning. In contrast, Colleges of Liberal Arts and Education often restrict AI use, viewing it as a threat to originality, critical thinking, and authentic writing. These departments emphasize traditional methods to preserve academic integrity, while STEM fields see AI as a catalyst for innovation. Even within the same university, students may find one professor encouraging ChatGPT to brainstorm project ideas while another forbids it entirely. This growing divide shows how higher education is still figuring out where AI belongs—and for students, understanding those boundaries is key. GrantBase helps students stay ahead of the curve, offering insights into how AI literacy can enhance—not replace—their learning experience.
AI in the Classroom: How Different Colleges Are Embracing—or Rejecting—Artificial Intelligence