Other ways to search: Events Calendar | UTHSC | UTHSC News

AI to Support Student Learning

|

First Published:
June 3, 2025

 

Artificial Intelligence (AI) tools are transforming student learning by enabling more personalized, responsive, and engaging educational experiences. In health sciences education, where students must master complex knowledge and clinical reasoning, AI can provide tailored support that enhances comprehension and skill development. These tools include AI tutors that give instant feedback on case studies, generative AI applications that scaffold student writing, and adaptive quiz systems that adjust difficulty based on performance. Whether used to generate practice questions, provide 24/7 access to tutoring, or assist with concept review, AI can empower students to take a more active and self-directed role in their learning.

 
Use the comments section below to let us know your ideas about the use of AI to support student learning.

  • AI can improve student performance and reduce anxiety. Adaptive learning systems powered by AI have been shown to improve student test results by up to 62%, enhance overall academic performance by 30%, and reduce anxiety by 20%. These benefits are especially important in rigorous health sciences programs, where students face high cognitive demands.

    • Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167

  • AI supports personalized, self-regulated learning. AI-enhanced tools such as adaptive textbooks and intelligent tutoring systems help students identify gaps in understanding, choose personalized learning pathways, and receive instant feedback. This approach strengthens self-directed learning—an essential skill in health sciences education.

    • Chun, J., Kim, J., Kim, H., Lee, G., Cho, S., Kim, C., Chung, Y., & Heo, S. (2025). A comparative analysis of on-device AI-driven, self-regulated learning and traditional pedagogy in university health sciences education. Applied Sciences, 15(4), 1815. https://doi.org/10.3390/app15041815

  • AI tools can provide tailored support for a wide range of learning needs. By responding to individual progress and offering flexible, timely feedback, AI technologies help instructors better meet varied student needs and support academic success across different learning approaches.

    • Kovalainen, T., Pramila-Savukoski, S., Kuivila, H.-M., Juntunen, J., Jarva, E., Rasi, M., & Mikkonen, K. (2025). Utilising artificial intelligence in developing education of health sciences higher education: An umbrella review of reviews. Nurse Education Today, 147, 106600. https://doi.org/10.1016/j.nedt.2025.106600

  1. Provide Training and Resources: Offer tutorials or workshops on effective AI tool usage. Equip students with the knowledge to leverage AI responsibly and effectively in their learning processes.

  2. Define Clear Usage Guidelines: Establish explicit policies on when and how AI tools can be used in your course. Clarify expectations to prevent misunderstandings and maintain academic integrity. 

  3. Start Small with Low-Stakes Assignments: Introduce AI tools in formative assessments or practice activities. This allows students to explore AI capabilities without the pressure of high-stakes grading, fostering a safe environment for experimentation.

  4. Encourage Critical Evaluation: Teach students to critically assess AI-generated content. Encourage them to verify information and understand the limitations of AI tools, promoting deeper learning and analytical skills.

  5. Monitor and Reflect on AI Integration: Regularly assess the impact of AI tools on student learning and engagement. Solicit feedback to refine your approach and ensure that AI integration aligns with your educational objectives.