Other Titles

Empowering Nursing Education with AI: From Policy to Practice – Strategies for Faculty Success [Symposium Title]

Other Titles

Symposium Presentation

Abstract

In an age where competency is the expected learning outcome across degree levels in nursing programs, faculty members must update or develop new, authentic assessments that better meet this expectation. But updating and developing assessments can be a time consuming process. Faculty members’ time is at a premium, so this interactive session will delve into using the most current AI tools that can effectively support faculty members through this process.

Generative AI tools provide opportunities for increased productivity and brainstorming.1,2 These tools can be used to draft licensure-style questions based on lecture materials and course content, format assessments for transparency, draft rubrics, receive feedback on current assessments, and draft patient profiles and case studies amongst other time-saving tasks.1,3,4 Additionally, generative AI is often used by faculty members as a brainstorming tool to inspire ideas for new authentic assessments.5 While there are many benefits to using generative AI, the output should be regarded as draft material, requiring verification by the faculty member prior to dissemination. There are also differences amongst the generative AI tools and the training data from which they draw information, making the decision about which tool to use for what task an important consideration.6

During this session we will introduce the most up-to-date generative AI tools and associated costs of use, describe which tool is most appropriate for which purpose, and provide examples of assessments built using generative AI. We will then split into groups and encourage each group to practice drafting an assessment (building a rubric, transparent assignment, NCLEX-style question, patient profile/case study, or prompting for customized interactions). Participants are encouraged to bring their personal computing devices so they can actively participate in the development of an assignment draft that could be used in one of their own courses.

Notes

References:

1. Ezekiel, O, & Akinyemi, A. (2022). Utilisation of artificial intelligence in education: The perception of University of Ibadan lecturers. Journal of Global Research in Education and Social Science (JOGRESS), 16(5), 32-40.

2. Liu, J., Liu, F., Fang, J., & Liu, S. (2023). The application of Chat Generative Pre-trained Transformer in nursing education. Nursing Outlook, 71(6), 102064.

3. Simms, R.C. (2023). Teaching tip: Using ChatGPT for tailored NCLEX prep in virtual office Hours. Nurse Educator, 49(4), E227.

4. Cornell University. (n.d.). AI in assignment design. Center for Teaching and Learning. https://teaching.cornell.edu/generative-artificial-intelligence/ai-assignment-design

5. CTLD Support (2024, August 23). Using generative AI as a faculty tool. Metropolitan State University of Denver Center for Teaching, Learning, and Design. https://ready.msudenver.edu/canvas-spotlight/using-ai-as-a-faculty-tool/

6. Blomquist, J., Llewellyn, S., Alderden, J., & Connor, K. (2024). Empowering faculty to incorporate large language models in nursing education using a delegation framework. Nursing Education Perspectives, 10-1097.

Description

Overall Symposium Summary: Explore strategies to transform your nursing courses with practical and meaningful integration of AI tools and concepts. This interactive, hands-on symposium equips faculty with tools for crafting AI syllabus policies, enhancing literature searches, and developing competency-based assessments. Join colleagues in exploring how AI can enhance nursing education, student engagement, and assessment development while maintaining professional and academic standards.

Note: The attached slide deck is a combined symposium presentation containing the slides of all featured symposium speakers.

To locate the other presentations in this symposium, search the repository by the Symposium Title shown in the Other Title field of this item record.

Author Details

Sarah Llewellyn, PhD, MN, RN

Sigma Membership

Mu Gamma at-Large

Type

Presentation

Format Type

Text-based Document

Study Design/Type

Other

Research Approach

Other

Keywords:

Faculty Development, Teaching and Learning Strategies, Nursing Education, Emerging Technologies, Artificial Intelligence, AI

Conference Name

48th Biennial Convention

Conference Host

Sigma Theta Tau International

Conference Location

Indianapolis, Indiana, USA

Conference Year

2025

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record. All permission requests should be directed accordingly and not to the Sigma Repository. All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

Abstract Review Only: Reviewed by Event Host

Acquisition

Proxy-submission

Date of Issue

2025-12-11

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Crafting Competency-Based Nursing Assessments with AI: A Practical Workshop

Indianapolis, Indiana, USA

In an age where competency is the expected learning outcome across degree levels in nursing programs, faculty members must update or develop new, authentic assessments that better meet this expectation. But updating and developing assessments can be a time consuming process. Faculty members’ time is at a premium, so this interactive session will delve into using the most current AI tools that can effectively support faculty members through this process.

Generative AI tools provide opportunities for increased productivity and brainstorming.1,2 These tools can be used to draft licensure-style questions based on lecture materials and course content, format assessments for transparency, draft rubrics, receive feedback on current assessments, and draft patient profiles and case studies amongst other time-saving tasks.1,3,4 Additionally, generative AI is often used by faculty members as a brainstorming tool to inspire ideas for new authentic assessments.5 While there are many benefits to using generative AI, the output should be regarded as draft material, requiring verification by the faculty member prior to dissemination. There are also differences amongst the generative AI tools and the training data from which they draw information, making the decision about which tool to use for what task an important consideration.6

During this session we will introduce the most up-to-date generative AI tools and associated costs of use, describe which tool is most appropriate for which purpose, and provide examples of assessments built using generative AI. We will then split into groups and encourage each group to practice drafting an assessment (building a rubric, transparent assignment, NCLEX-style question, patient profile/case study, or prompting for customized interactions). Participants are encouraged to bring their personal computing devices so they can actively participate in the development of an assignment draft that could be used in one of their own courses.