Large language models (LLMs) are already in our students’ pockets, and many use them to “get through” financial accounting rather than to learn it. This lightning talk shares a set of structured activities that channel LLM use into deeper conceptual understanding and more deliberate practice in an introductory financial accounting course, aligning with TEACHx’s focus on AI/Digital Literacy and Innovative Learning Experiences. First, I show how I incorporate LLMs to explain accounting concepts and generate homework solutions. Students independently attempt problems, compare their work to the model’s answer, and reconcile differences by explaining which approach is correct and why. Second, I demonstrate a guided “LLM-generated study guide” activity in which the model produces an initial exam outline and students critique and revise it, adding missing concepts and correcting vague or inaccurate explanations. Third, I present a structured way for students to use LLMs with sample exams by contrasting their own timed responses with the model’s answers to drive targeted review. For each activity, I share sample prompts, representative LLM responses, and student-facing instructions, highlighting brief evidence on student perceptions and performance. Attendees will leave with ready-to-use ideas and framing language to help students use LLMs responsibly and productively.
