Smeal's AI Innovation in Business Education

AI Innovation in Business Education (AliBE) is Smeal’s faculty-focused initiative for integrating generative AI into business courses across undergraduate, graduate, and professional programs. Through this initiative, Smeal supports faculty in embedding AI into the curriculum using evidence-based pedagogy, strong instructional design, and responsible AI practices—ensuring that AI is integrated as part of how students learn to think, analyze, and make decisions in modern organizations.

This ongoing work ensures that students encounter AI in meaningful, discipline-specific ways that reflect how it is used in today’s workplace, appearing at multiple points across the student journey.

Faculty collaborate closely with instructional designers and instructional technologists from the eLearning Design and Innovation Group (eLDIG) to design assignments, projects, and learning experiences where AI strengthens—not replaces—critical thinking, professional judgment, and ethical reasoning.

Guiding Principles

• Pedagogy first
  AI use is aligned with course learning objectives and program-level business competencies

• Applied learning
  Students use AI within realistic business tasks—analysis, modeling, decision support, synthesis, and communication

• Critical evaluation

  Students are expected to verify outputs, explain their reasoning, and apply human judgment

• Ethics and responsibility

  AI use is grounded in transparency, academic integrity, and professional standards

• Consistency and quality

  Faculty receive ongoing instructional design and technology support to ensure a coherent student experience across programs

AI Innovation in Business Education runs in recurring cycles, allowing faculty to continuously refine how AI supports teaching and learning while contributing to ongoing assurance of learning and curriculum improvement.

Why it Matters

At Smeal, students don’t just learn about AI. They learn how to use it responsibly, critically, and effectively in business contexts.

Graduates leave Smeal able to:

• Apply AI to real business problems across disciplines

• Evaluate AI outputs rather than accept them at face value

• Combine AI tools with human judgment and domain expertise

• Understand ethical, professional, and organizational implications of AI use

• Enter the workforce prepared for how employers actually use AI today

Smeal graduates are not just familiar with AI—they are prepared to question it, leverage it, and lead with it responsibly.