The Impact of Online Learning Platforms on the Nursing Competencies in Their Clinical Application: Basis for Pedagogical Development
Abstract
This study examined the competencies of nursing students in both academic and clinical settings. It specifically assessed competencies in terms of skills, knowledge, and values, as well as clinical performance in skills laboratory and clinical duty. It also determined whether significant differences exist when respondents are grouped according to gender, year level, general weighted average (GWA), and learning modality. A descriptive-comparative research design was used, and data were analyzed using mean and inferential statistics. Findings revealed that nursing students are generally competent in all areas. In academic competencies, skills and knowledge were rated as “Agree,” while values obtained the highest rating of “Strongly Agree,” indicating strong professionalism and ethical behavior. In clinical competencies, both skills laboratory and clinical duty were rated as “Agree,” showing that students are capable of performing nursing tasks in both simulated and actual clinical environments. Results further showed that there are no significant differences in competencies when grouped according to demographic profile, leading to the acceptance of the null hypothesis. The study concludes that nursing students demonstrate consistent and satisfactory competency levels across academic and clinical domains. However, there is a need to further enhance independence and performance in skills laboratory activities. The findings suggest that current teaching strategies and learning modalities are effective in promoting uniform competency development among students. Based on the results, it is recommended that nursing programs strengthen simulation-based learning, improve blended learning strategies, and integrate more real-life clinical scenarios. These interventions aim to further enhance students’ readiness for professional nursing practice and ensure continuous improvement in nursing