Â鶹´«Ã½ faculty are exploring thoughtful, discipline-specific uses of artificial intelligence to enhance teaching, learning, research, and professional practice. The examples below highlight how faculty across colleges are integrating AI responsibly, with an emphasis on critical evaluation, accuracy, and ethical use, while preparing students to engage meaningfully with emerging technologies.
Together, these use cases demonstrate how AI can support efficiency, deepen understanding, and strengthen academic and professional outcomes without replacing human judgment, disciplinary expertise, or scholarly rigor.
Course: MSNE 5330 – Advanced Health Assessment for Nurse Educators
with Sommer Shackelford, DNP, APRN, FNP-C, CNE
An existing assignment required students to create a teaching tool for nursing students using the National Council of State Boards of Nursing (NCSBN) Clinical Judgment Measurement Model to encourage critical thinking. Some submitted tools appeared to be AI-generated, even though AI use was not included in the assignment instructions.
Program: Doctorate of Educational Leadership
with Kaye Shelton, PhD
A key program outcome is for students to transition to academic writing using legitimate educational research. In an early doctoral course, students learn how to summarize a research article. With the growing use of AI, students began relying on AI-generated summaries without fully understanding the research or verifying the accuracy of the output.
Project: Advancing Methods for Health Outcome Assessment with Personalized Humanoids
with Zina Ben Miled, PhD
Health Outcome Assessments (HOAs) are standardized psychometric instruments that require in-person interaction between subjects and trained evaluators to assess domains such as mood, activities of daily living, and cognition. While telehealth has enabled digital HOA delivery via tablets, smartphones, and virtual reality, current digital approaches are limited in scope and less reliable than in-person assessments.
Course: ACCT 5310 – Financial Accounting Research & Procedures
with J. Donald Warren, Jr., PhD, CPA
Modern accounting professionals must address complex issues efficiently. Traditional research methods are time-consuming, and new professionals are expected to leverage technologies such as artificial intelligence. Students must learn to use AI without relying on it uncritically or introducing errors into professional work.
The University Innovation team supports faculty, staff, and students with AI adoption and workflow questions.
Support is available 8:00 AM until 5:00 PM, Monday through Friday.
Kimberly Conner, J.D. | Director of University Innovation
For more information about our department and programs, please email us at universityinnovation@lamar.edu.