Abstract:

As faculty continue to navigate rapid changes in teaching and learning, many are seeking practical ways to provide students with more individualized support without increasing an already full workload. One of the most persistent needs across disciplines is the ability to offer steady guidance as students practice new skills, work through confusion, and build confidence. This session introduces an approach to using artificial intelligence as a discipline-aware tutor that supports long-standing instructional practices while providing students with a structured space to learn beyond the classroom.

AI tutoring is not intended to replace human teaching. Instead, it serves as a supportive layer that reinforces the natural rhythm of learning by offering explanations, prompts, and guided practice. When shaped to match the expectations of a specific discipline, AI becomes far more effective. Nursing students may use it to reason through clinical scenarios, business students to interpret data or analyze cases, and design students to refine early drafts. This tailoring helps AI act as a natural extension of the instructor’s work rather than a one-size-fits-all tool.

The session will highlight the many ways AI can support student learning, from offering gentle guidance as they practice new concepts to helping them think through ideas before class. AI can give learners space to explore, reflect, and check their understanding at their own pace. We will also talk about what makes AI use responsible and effective. Students need a clear sense of their strengths and limits, and instructors play a key role in shaping how these tools are used. When expectations are set with care, AI becomes a steady study partner that enhances learning rather than competing with it.

We will also touch on the ethical considerations that come with introducing AI into coursework, including privacy, accessibility, fairness, and maintaining academic integrity. Thoughtful use of AI encourages faculty to revisit familiar assignments and routines and consider where these tools can support more practice, feedback, and engagement.

Throughout the session, we will share practical strategies for designing AI-supported learning activities for courses at various levels. Participants will see real examples, simple workflows, and ready-to-use prompts that can be applied immediately. The goal is not to overhaul instruction but to offer an extension of the tutoring practices that have always supported student success.

Keywords:

AI, student success, tutors.