AI2 (AI Intelligence) project for the university classroom

While artificial intelligence (AI) is not a new concept, the release of ChatGPT by OpenAI has significantly increased public interest in its applications. AI refers to machines performing tasks that require human cognition. Since Turing’s (1950) introduction of the theory of computation and the imitation game, scientists have worked to develop machines that “think”; like humans. This progress has led to deep learning models that simulate complex decision-making processes (Davoodi, 2024). This study presents an assignment that encourages students to explore AI tools for potential industry applications while comparing their work with AI-generated content. Additionally, we assess student engagement using transformative learning and teaching effectiveness measures. Our goal is to identify best practices for integrating AI in the classroom and evaluate the effectiveness of these pedagogical strategies. We used a mixed-method approach, starting with an online Qualtrics survey measuring transformative learning and teaching effectiveness. As the AI² assignment evolves, we will refine the brands students analyze to improve outcomes and their practical application of AI tools. Students responded to open-ended questions about their prior AI use, perceptions of AI in the university setting, and motivations for its use in the classroom. We conducted thematic analysis to understand student perspectives. The sample consisted of 13 senior-level students (N=13).