Contributor

Office of Teaching Innovation and Digital Education (OTIDE), University of Alabama

Date Created

12-12-2025

Institution Type

Doctorate-granting university

Course Level

Graduate

Modality of Lesson

Online

Category

Task Execution with Human Oversight

Primary AI Tool Used

ChatGPT or Microsoft Copilot

Learning Objectives

By completing this assignment, you will:

  • Apply one of the theoretical frameworks from the course to a maternal and infant nutrition case study.
  • Utilize an AI tool to generate insights and interventions based on your framework.
  • Verify AI-generated information with evidence from peer-reviewed sources.
  • Develop evidence-based, practical nutrition recommendations for a pregnant woman facing challenges.
  • Practice synthesizing theoretical knowledge for real-world solutions.
  • Strengthen your ability to communicate professional recommendations clearly and concisely in an academic format.

Strategy Description

This assignment integrates AI into graduate-level maternal and infant nutrition coursework by requiring students to generate recommendations from an AI tool, then verify, analyze, and refine them using evidence-based resources and theoretical frameworks. The strategy emphasizes critical thinking, professional judgment, and ethical responsibility in applying AI within healthcare education.

Publisher

University of Central Florida Libraries

Keywords

ChatGPT; Microsoft Copilot; AI in healthcare education; Maternal nutrition; Infant nutrition; Dietetics; Graduate coursework; Critical thinking; Evidence-based practice

Subjects

Nutrition--Computer-assisted instruction; Pregnancy--Nutritional aspects--Study and teaching; Infants--Nutrition--Study and teaching; Nutrition--Study and teaching (Graduate); Nutrition--Evaluation--Computer-assisted instruction

Type

Text; Document

Audience

Faculty; Students; Educators

Comments

This assignment requires students to apply a designated theoretical framework to a maternal and infant nutrition case study and to critically evaluate AI-generated recommendations for a pregnant client’s nutritional needs. Using the attached instructions, students generate an initial AI response, verify its accuracy with peer-reviewed evidence, and then develop their own evidence-based recommendations. The attached rubric outlines expectations for framework application, analysis of AI output, synthesis of research, and clarity of recommendations. Together, the assignment sheet and rubric guide students in integrating theoretical knowledge with practical decision making in maternal and infant nutrition.

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Download

Share

COinS