Other Titles
Learning Challenges and Its Correlation Among Nursing Students Using Artificial Intelligence Bots [Title Slide]
Abstract
The rise of Artificial Intelligence (AI) has profoundly transformed the digital age, bringing notable implications for nursing education. AI, defined as the simulation of human intelligence in machines (Duggal, 2023), has revolutionized nursing, where students face various challenges related to Knowledge, Skills, and Attitudes (KSA) when using AI bots for academic purposes. This study examines the learning challenges encountered by nursing students in the domains of knowledge, skills, and attitudes (KSA) when using AI bots for academic purposes, particularly in relation to ethical considerations.
A descriptive-correlational research design was employed, using structured questionnaires to analyze the relationship between demographic profiles, AI usage, and learning challenges among nursing students at Centro Escolar University. Stratified random sampling ensured balanced demographic representation and minimized bias, while strict adherence to ethical research protocols was observed.
Findings revealed that students frequently used AI tools such as Grammarly, Quizlet, Quillbot, and ChatGPT for tasks including grammar correction, summarization, and quiz preparation. While students acknowledged the convenience and academic support these tools offer, they also expressed concerns about the accuracy of AI-generated information, the potential decline in critical thinking, and increasing dependence on technology. Notably, female students reported higher levels of AI usage compared to their male counterparts.
Results show a positive correlation between AI usage and challenges across the KSA domains. Students who relied more heavily on AI tended to experience greater learning difficulties, emphasizing the importance of balanced and guided AI integration in nursing education.
In conclusion, while AI serves as a valuable academic aid, it also introduces learning challenges that educators must proactively address to ensure the formation of holistic, competent, analytical, and ethically grounded nursing professionals.
Notes
References:
Duggal, N. (2024, March 21). Advantages and Disadvantages of Artificial Intelligence. Simplilearn. https://www.simplilearn.com/advantages-and-disadvantages-of-artificial-intelligence-article
Glauberman, G., Ito-Fujita, A., Katz, S., & Callahan, J. (2023). Artificial Intelligence in Nursing Education: Opportunities and Challenges. Hawai’i Journal of Health & Social Welfare, 82(12), 302–305. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10713739/
Han, J.-W., Park, J., & Lee, H. (2022). Analysis of the effect of an artificial intelligence chatbot educational program on non-face-to-face classes: a quasi-experimental study. BMC Medical Education, 22(1). https://doi.org/10.1186/s12909-022-03898-3
Labrague, L. J., Aguilar-Rosales, R., Yboa, B. C., Sabio, J. B., & De Los Santos, J. A. (2023). Student nurses’ attitudes, perceived utilization, and intention to adopt artificial intelligence (AI) technology in nursing practice: A cross-sectional study. Nurse Education in Practice, 73, 103815. https://doi.org/10.1016/j.nepr.2023.103815
Ma, J., Wen, J., Qiu, Y., Wang, Y., Xiao, Q., Liu, T., Zhang, D., Zhao, Y., Lu, Z., & Sun, Z. (2025). The Role of Artificial Intelligence in Shaping Nursing Education: A Comprehensive Systematic Review. Nurse Education in Practice, 104345.
Sigma Membership
Psi Beta
Type
Presentation
Format Type
Text-based Document
Study Design/Type
Descriptive/Correlational
Research Approach
Quantitative Research
Keywords:
Nursing Students, Artificial Intelligence, Nursing Education, Chatbots
Recommended Citation
Robles, Sofia Magdalena Norbe; Adarne, Francine Isabel M.; Arellano, Astrid Jaide; Azucenav, Charlene; Bayan, Ianne Jasmine A.; Caudal, Luis Manuel M.; De Guzman, Angelica S.; Cruz, Jan Philip Dela; Gabon, Gweneth E.; Mabahague, Adrian Paolo P.; Ricabierta, Rebeka L.; Rosal, Andru Nicolas P.; Taroc, Jodi Darla S.; and Valera, Sheena Margaret B., "Learning Challenges and Their Correlation Among Nursing Students Using Artificial Intelligence Bots" (2026). International Nursing Research Congress (INRC). 159.
https://www.sigmarepository.org/inrc/2026/presentations_2026/159
Conference Name
37th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Toronto, Ontario, Canada
Conference Year
2026
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
2026-08-18
Learning Challenges and Their Correlation Among Nursing Students Using Artificial Intelligence Bots
Toronto, Ontario, Canada
The rise of Artificial Intelligence (AI) has profoundly transformed the digital age, bringing notable implications for nursing education. AI, defined as the simulation of human intelligence in machines (Duggal, 2023), has revolutionized nursing, where students face various challenges related to Knowledge, Skills, and Attitudes (KSA) when using AI bots for academic purposes. This study examines the learning challenges encountered by nursing students in the domains of knowledge, skills, and attitudes (KSA) when using AI bots for academic purposes, particularly in relation to ethical considerations.
A descriptive-correlational research design was employed, using structured questionnaires to analyze the relationship between demographic profiles, AI usage, and learning challenges among nursing students at Centro Escolar University. Stratified random sampling ensured balanced demographic representation and minimized bias, while strict adherence to ethical research protocols was observed.
Findings revealed that students frequently used AI tools such as Grammarly, Quizlet, Quillbot, and ChatGPT for tasks including grammar correction, summarization, and quiz preparation. While students acknowledged the convenience and academic support these tools offer, they also expressed concerns about the accuracy of AI-generated information, the potential decline in critical thinking, and increasing dependence on technology. Notably, female students reported higher levels of AI usage compared to their male counterparts.
Results show a positive correlation between AI usage and challenges across the KSA domains. Students who relied more heavily on AI tended to experience greater learning difficulties, emphasizing the importance of balanced and guided AI integration in nursing education.
In conclusion, while AI serves as a valuable academic aid, it also introduces learning challenges that educators must proactively address to ensure the formation of holistic, competent, analytical, and ethically grounded nursing professionals.
Description
In a rapidly evolving world, Artificial Intelligence (AI) has emerged as a transformative force across various industries, including the educational system, particularly in nursing. As the field embraces the rise of AI, nursing students encounter learning challenges related to knowledge, skills, and attitudes in utilizing various AI tools. This study aims to explore the learning challenges experienced by nursing students and examine their correlation with the use of AI bots.