Authors :
Irina Xanthia S. Ramirez; Christine Grace S. Duaves; Genelyn Baluyos
Volume/Issue :
Volume 11 - 2026, Issue 6 - June
Google Scholar :
https://tinyurl.com/5mywruyw
Scribd :
https://tinyurl.com/2bv8tst6
DOI :
https://doi.org/10.38124/ijisrt/26jun1020
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Artificial Intelligence (AI) has emerged as a valuable educational tool that supports nursing students’ learning
processes, clinical preparation, and independent learning. However, the mechanism by which AI use contributes to the
development of clinical competence remains underexplored. This study aimed to determine the mediating role of selfregulated learning in the relationship between the use of artificial intelligence and clinical competence among nursing
students. The study was conducted among Bachelor of Science in Nursing students enrolled during Academic Year 2025–
2026 at a higher education institution in Western Mindanao, Philippines. An explanatory sequential mixed-methods design
was utilized. The quantitative phase involved 252 nursing students selected through simple random sampling, while the
qualitative phase involved eight (8) purposively selected participants who participated in semi-structured interviews. Data
were collected using three researcher-adapted questionnaires measuring AI utilization, self-regulated learning, and clinical
competence, along with an interview guide for the qualitative component. Quantitative data were analyzed using Jamovi
software, including frequencies, percentages, means, standard deviations, Pearson product-moment correlations, and
mediation analyses.
Keywords :
Artificial Intelligence, AI Utilization, Clinical Competence, Mixed-Methods Study, Nursing Education, Nursing Students, Self-Regulated Learning.
References :
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Artificial Intelligence (AI) has emerged as a valuable educational tool that supports nursing students’ learning
processes, clinical preparation, and independent learning. However, the mechanism by which AI use contributes to the
development of clinical competence remains underexplored. This study aimed to determine the mediating role of selfregulated learning in the relationship between the use of artificial intelligence and clinical competence among nursing
students. The study was conducted among Bachelor of Science in Nursing students enrolled during Academic Year 2025–
2026 at a higher education institution in Western Mindanao, Philippines. An explanatory sequential mixed-methods design
was utilized. The quantitative phase involved 252 nursing students selected through simple random sampling, while the
qualitative phase involved eight (8) purposively selected participants who participated in semi-structured interviews. Data
were collected using three researcher-adapted questionnaires measuring AI utilization, self-regulated learning, and clinical
competence, along with an interview guide for the qualitative component. Quantitative data were analyzed using Jamovi
software, including frequencies, percentages, means, standard deviations, Pearson product-moment correlations, and
mediation analyses.
Keywords :
Artificial Intelligence, AI Utilization, Clinical Competence, Mixed-Methods Study, Nursing Education, Nursing Students, Self-Regulated Learning.