Effectiveness of video self-modeling on self-efficacy, basic life support and surgical instrumentation
DOI:
https://doi.org/10.37914/riis.v9.530Keywords:
nursing students, nursing education, mentoring, self efficacyAbstract
Background: the ClinicalModelling project addresses the challenges involved in consolidating technical competencies in Nursing. Video self-modeling enables the recording of clinical procedures from a first-person perspective and the reflective analysis of performance by the student, thereby enhancing self-regulated learning and self-efficacy. However, empirical evidence supporting the integration of this methodology in simulated contexts remains limited. Objective: to evaluate the effectiveness of video self-modeling using smart glasses in improving technical performance and perceived self-efficacy among Nursing students in Basic Life Support and Surgical Instrumentation. Methodology: an quasi-experimental study was conducted with 76 undergraduate Nursing students and 11 postgraduate students in Surgical Instrumentation, randomly assigned to an experimental group or a control group. Performance was assessed using checklists, and self-efficacy was measured with the General Self-Efficacy Scale. Results: in Basic Life Support, the experimental group showed improvements in technical performance. In Surgical Instrumentation, both groups improved, with more consistent gains observed in the control group. Self-efficacy increased only in Basic Life Support. Conclusion: Video self-modeling was more effective in structured tasks with time constraints but showed lower effectiveness in more complex procedures.
References
Abelsson, A., Odestrand, P., & Nygårdh, A. (2020). To strengthen self-confidence as a step in improving prehospital youth laymen basic life support. BMC Emergency Medicine, 20(1), 1–5. https://doi.org/10.1186/s12873-020-0304-8
Al-Gharibi, K., Schmidt, N., & Arulappan, J. (2021). Effect of repeated simulation experience on perceived self-efficacy among undergraduate nursing students. Nurse Education Today, 106, 1–6. https://doi.org/10.1016/j.nedt.2021.105057
Araújo, M., & Moura, O. (2011). Estrutura factorial da General Self-Efficacy Scale (Escala de Auto-Eficácia Geral) numa amostra de professores portugueses. Laboratório de Psicologia, 9(1). https://doi.org/10.14417/lp.638
Bandura, A. (1986). Social foundations of thought and action: a social cognitive theory. Prentice-Hall.
Dodson, T. M., Nibling, M., & Evans, S. (2023). Developing expert modeling videos: practical guidance for nurse educators. Teaching and Learning in Nursing, 18(4), 246–249. https://doi.org/10.1016/j.teln.2023.06.007
Goers, J., Humphrey, K., Oja, K., & Mulkey, D. (2024). Bridging the experience-complexity gap with longitudinal clinical placements. Nursing Outlook, 72(5), 1–7. https://doi.org/10.1016/j.outlook.2024.102221
Gregersen, A., Hansen, M., Brynhildsen, S., Grøndahl, A., & Leonardsen, A. (2021). Students' perspectives on learning practical nursing skills: a focus group study in Norway. Nursing Research and Practice, 8870394, 1–9. https://doi.org/10.1155/2021/8870394
Hung, C., Kao, H., Liu, H., Liang, H., Chu, T., & Lee, B. (2021). Effects of simulation-based learning on nursing students’ perceived competence, self-efficacy, and learning satisfaction: a repeat measurement method. Nurse Education Today, 97, 1–7. https://doi.org/10.1016/j.nedt.2020.104725
Jackson, C. & Jones, D. (2023). Intelligent virtual operating room for enhancing nontechnical skills. JAMA Surgery, 158(6), 1–12. https://doi.org/10.1001/jamasurg.2022.6721
Koçan, S., Kulakaç, N., Aktuğ, C., & Demirel, S. (2024). The effect of video-based simulation training on nursing students' motivation and academic achievement: a mixed study. Computers, informatics, Nursing: CIN, 42(6), 440–447. https://doi.org/10.1097/CIN.0000000000001117
Maenhout, G., Billiet, V., Sijmons, M., & Beeckman, D. (2021). The effect of repeated high-fidelity in situ simulation-based training on self-efficacy, self-perceived leadership qualities and team performance: a quasi-experimental study in a NICU-setting. Nurse Education Today, 100, 1–6. https://doi.org/10.1016/j.nedt.2021.104849
Rushton, M., & Pilkington, R. (2024). Basic life support training: Is student confidence enhanced by advanced levels of simulation?. British Journal of Nursing, 33(9), 411–417. https://doi.org/10.12968/bjon.2024.33.9.411
Schwarzer, R., & Jerusalem, M. (1995). Generalized Self-Efficacy scale. In J. Weinman, S. Wright, & M. Johnston, Measures in health psychology: a user’s portfolio. Causal and control beliefs (pp. 35-37). NFER-NELSON.
Soar, J., Böttiger, B. W., Carli, P., Couper, K., Deakin, C. D., Djärv, T., Lott, C., Olasveengen, T., Paal, P., Pellis, T., Perkins, G. D., Sandroni, C., & Nolan, J. P. (2021). European resuscitation council guidelines 2021: adult advanced life support. Resuscitation, 161, 115–151. https://doi.org/10.1016/j.resuscitation.2021.02.010
Souza, C., Santos, W., Salgado, P., Júnior, P., Toledo, L., & Paiva, L. (2020). Evaluating the “satisfaction” and “self-confidence” in nursing students in undergoing simulated clinical experiences. Revista da Escola de Enfermagem da Universidade de São Paulo, 54, 1–9. https://doi.org/10.1590/s1980-220x2018038303583
Stone, R., Cooke, M., & Mitchell, M. (2019). Undergraduate nursing students’ use of video technology in developing confidence in clinical skills for practice: a systematic integrative literature review. Nurse Education Today, 84, 1–12. https://doi.org/10.1016/j.nedt.2019.104230
Tremblay, M., Leppink, J., Leclerc, G., Rethans, J., & Dolmans, D. H. J. M. (2018). Simulation‐based education for novices: complex learning tasks promote reflective practice. Medical Education, 53(4), 380–389. https://doi.org/10.1111/medu.13748
Weston, B., Jasti, J., Mena, M., Unteriner, J., Tillotson, K., Yin, Z., Colella, M., & Aufderheide, T. (2019). Self-assessment feedback form improves quality of out-of-hospital CPR. Prehospital Emergency Care, 23(1), 66–73. https://doi.org/10.1080/10903127.2018.1477887
Wong, A., Hung, T., Bayuo, J., & Wong, F. (2023). The development and implementation of a blended video watching and peer learning model for master’s nursing students: a quasi-experimental study. BMC Nursing, 22(1), 1–9. https://doi.org/10.1186/s12912-023-01204-0
Zhang, Z., Bai, E., Joy, K., Ghelaa, P., Adelgais, K., & Ozkaynak, M. (2023). Smart glasses for supporting distributed care work: systematic review. JMIR Medical Informatics, 11, 1–16. https://doi.org/10.2196/44161
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Copyright (c) 2026 Goreti Marques, Ana Paula da Conceição, Beatriz Edra, Eduardo Batalha, Joana Martins, Vanessa Sousa, Abílio Teixeira

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