Other Titles

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

Other Titles

Symposium Presentation

Abstract

This interactive session presents practical strategies for incorporating AI tools in undergraduate nursing research/evidence-based practice (EBP) education, specifically focusing on literature search processes. EBP is fundamental for safe and effective patient care, yet nurses often struggle with implementing EBP in their daily practice.1,2 Over 50% of nurses rely on Google searches or peer advice rather than scholarly databases, highlighting the critical need to strengthen research competencies beginning at the undergraduate level.3 Similar to practicing nurses, undergraduate nursing students struggle with foundational EBP skills, particularly in efficiently searching and critically analyzing research literature.4,5 It is essential to develop innovative teaching strategies that strengthen these competencies.

In this session, we will share our experience of integrating AI tools into an undergraduate nursing research course, demonstrating innovative approaches that enhance students' literature search capabilities while preserving academic integrity. We will present our framework for incorporating AI tools through specific guidelines, modified assignments, and evaluation criteria, along with practical examples of AI-assisted PICOT question development and literature search techniques. The discussion will include implementation challenges, successful strategies, and insights from both faculty and student perspectives.

Participants will gain hands-on experience with AI-assisted literature search techniques through interactive demonstrations. Discussion will include strategies for developing student competencies in both AI-assisted and traditional search methods, ensuring ethical use of AI tools, and adapting these approaches to various nursing research/EBP courses. Educational materials will be shared with participants to facilitate integration of AI tools in their own nursing research/EBP courses. We encourage participants to bring laptops or tablets to engage in hands-on demonstrations of AI-assisted literature search techniques during the session.

Notes

References:

1. Holopainen, A., Siltanen, H., Tuomikoski, A., Tuomisto, S., & Parisod, H. (2019). Evidence-based practices in Finland based on nurse professionals’ descriptions. JBI Evidence Implementation, 17(Suppl), S65. https://doi.org/10.1097/XEB.0000000000000181

2. Warren, J. I., McLaughlin, M., Bardsley, J., Ehrhart, M. G., & Rankin, S. (2016). The strengths and challenges of implementing EBP in healthcare systems. Worldviews on Evidence-Based Nursing, 13(1), 15–24. https://doi.org/10.1111/wvn.12149

3. Alving, B. E., Christensen, J. B., & Thrysøe, L. (2018). Hospital nurses’ information retrieval behaviours in relation to evidence-based nursing: A literature review. Health Information and Libraries Journal, 35(1), 3–23. https://doi.org/10.1111/hir.12204

4. Maquibar, A., Román, Ó., Fraile-Bermúdez, A. B., & Estalella, I. (2022). Achievements and challenges in baccalaureate student nurses’ preparation for evidence-based nursing practice: A mixed methods study. Journal of Professional Nursing, 40, 89–95. https://doi.org/10.1016/j.profnurs.2022.03.008

5. Patelarou, A. E., Mechili, E. A., Ruzafa-Martinez, M., & Patelarou, E. (2020). Educational interventions for teaching evidence-based practice to undergraduate nursing students: A scoping review. International Journal of Environmental Research and Public Health, 17(17), Article 6351. https://doi.org/10.3390/ijerph17176351

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

Ryoko Kausler, PhD, FNP-BC, 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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Integrating AI Tools for Literature Searches: Implementation in an Evidence-Based Practice Course

Indianapolis, Indiana, USA

This interactive session presents practical strategies for incorporating AI tools in undergraduate nursing research/evidence-based practice (EBP) education, specifically focusing on literature search processes. EBP is fundamental for safe and effective patient care, yet nurses often struggle with implementing EBP in their daily practice.1,2 Over 50% of nurses rely on Google searches or peer advice rather than scholarly databases, highlighting the critical need to strengthen research competencies beginning at the undergraduate level.3 Similar to practicing nurses, undergraduate nursing students struggle with foundational EBP skills, particularly in efficiently searching and critically analyzing research literature.4,5 It is essential to develop innovative teaching strategies that strengthen these competencies.

In this session, we will share our experience of integrating AI tools into an undergraduate nursing research course, demonstrating innovative approaches that enhance students' literature search capabilities while preserving academic integrity. We will present our framework for incorporating AI tools through specific guidelines, modified assignments, and evaluation criteria, along with practical examples of AI-assisted PICOT question development and literature search techniques. The discussion will include implementation challenges, successful strategies, and insights from both faculty and student perspectives.

Participants will gain hands-on experience with AI-assisted literature search techniques through interactive demonstrations. Discussion will include strategies for developing student competencies in both AI-assisted and traditional search methods, ensuring ethical use of AI tools, and adapting these approaches to various nursing research/EBP courses. Educational materials will be shared with participants to facilitate integration of AI tools in their own nursing research/EBP courses. We encourage participants to bring laptops or tablets to engage in hands-on demonstrations of AI-assisted literature search techniques during the session.