DOI QR코드

DOI QR Code

The impact of clinical simulation learning motivation on nursing student learning achievement: The mediating effect of learning immersion

간호대학생의 임상 시뮬레이션 학습동기가 학습성취도에 미치는 영향: 학습몰입의 매개효과

  • Ko, Eun Jeong (School of Nursing.Research Institute of Nursing Science, Hallym University) ;
  • Kim, Eun Jung (School of Nursing.Research Institute of Nursing Science, Hallym University)
  • 고은정 (한림대학교 간호대학.간호학연구소) ;
  • 김은정 (한림대학교 간호대학.간호학연구소)
  • Received : 2023.10.25
  • Accepted : 2024.02.20
  • Published : 2024.05.31

Abstract

Purpose: This study aimed to examine the mediating effect of learning immersion in clinical simulations on the relationship between nursing student learning motivation and achievement in clinical simulation. Methods: This study was conducted using a cross-sectional survey with 184 nursing students from two universities who participated in clinical simulation between September and December 2022. The participants completed a self-administered questionnaire, and the collected data were analyzed using independent an independent t-test, Mann-Whitney U-test, one-way ANOVA, Pearson's correlation coefficient, and multiple regression analysis to identify the mediating effects of learning immersion on the relationship between nursing student learning motivation and achievement. Results: Among the subvariables of nursing student learning motivation, task value and self-efficacy for learning and performance had a significant effect on learning immersion (respectively, β=.36, p=.001; β=.31, p<.001) and learning achievement (respectively, β=.48, p<.001; β=.38, p<.001). With the input of learning motivation variables, the direct effect of learning immersion on learning achievement was significant (β=.20, p=.003), and the effects of learning motivation and task value and self-efficacy on learning achievement was reduced after controlling for learning immersion, which is a mediating variable (respectively, β=.41, p<.001; β=.32, p<.001). The bootstrapping test to confirm the mediating effect of learning immersion was also significant (task value 95% confidence interval [95% CI], 0.02~0.20; self-efficacy 95% CI, 0.01~0.12). Conclusion: The results of this study suggest that simulation educators should consider learners' motivation and immersion when organizing and operating clinical simulations.

Keywords

Acknowledgement

This research was supported by Hallym University Research Fund, 2023 (HRF-202304-002).

References

  1. Aebersold M. Simulation-based learning: No longer a novelty in undergraduate education. The Online Journal of Issues in Nursing. 2018;23(2). https://doi.org/10.3912/OJIN.Vol23No02PPT39
  2. Ary D, Jacobs L, Razavieh A. Introduction to research in education. 6th ed. Wadsworth Thompson Learning; 2002. p. 1-582.
  3. Schunk DH. DiBenedetto MK. Motivation and social cognitive theory. Contemporary Educational Psychology. 2020;60:101832. https://doi.org/10.1016/j.cedpsych.2019.101832
  4. Ro YS, Song SH. Influence of adult learning characteristics and lifelong learning participation motivation on learning outcomes: Mediating effect of wisdom. The Journal of the Korea Contents Association. 2019;19(5):389-403. https://doi.org/10.5392/JKCA.2019.19.05.389
  5. Diaz-Agea JL, Pujalte-Jesus MJ, Leal-Costa C, Garcia-Mendez JA, Adanez-Martinez MG, Jimenez-Rodriguez D. Motivation: Bringing up the rear in nursing education. Motivational elements in simulation. The participants' perspective. Nurse Education Today. 2021;103:104925. https://doi.org/10.1016/j.nedt.2021.104925
  6. Pintrich PR, Smith DA, Garcia T, McKeachie WJ. Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement. 1993;53(3):801-813. https://doi.org/10.1177/0013164493053003024
  7. Stokes-Parish JB, Duvivier R, Jolly B. Investigating the impact of moulage on simulation engagement - A systematic review. Nurse Education Today. 2018;64:49-55. https://doi.org/10.1016/j.nedt.2018.01.003
  8. Csikszentmihalyi M. The domain of creativity. In: Runco MA. Albert RS, editors. Theories of creativity. Sage Publications, Inc.; 1990. p. 190-212.
  9. Dede C. Immersive interfaces for engagement and learning. Science (New York, N.Y.). 2009;323(5910):66-69. https://doi.org/10.1126/science.1167311
  10. Hagiwara MA, Backlund P, Soderholm HM, Lundberg L, Lebram M, Engstrom H. Measuring participants' immersion in healthcare simulation: The development of an instrument. Advances in Simulation. 2016;1:17. https://doi.org/10.1186/s41077-016-0018-x
  11. Yoo JH, Kim YJ. Factors influencing nursing students' flow experience during simulation-based learning. Clinical Simulation in Nursing. 2018;24:1-8. https://doi.org/10.1016/j.ecns.2018.09.001
  12. Son SJ. The effects of simulation education on self-directed learning ability, learning flow, and problem solving ability. The Journal of Learner-Centered Curriculum and Instruction. 2017;17(14):473-486. https://doi.org/10.22251/jlcci.2017.17.14.473
  13. Noh GO. The relation of self-directed learning readiness, flow and clinical competency in simulation-based education. The Journal of Learner-Centered Curriculum and Instruction. 2018;18(17):241-254. https://doi.org/10.22251/jlcci.2018.18.17.241
  14. Ryu EJ, Jang KS, Kim EA. Influence of learning presence of non-face-to-face class experience in nursing students on academic achievement: Mediating effect of learning flow and moderated mediation of digital literacy. Journal of Korean Academy of Nursing. 2022;52(3):278-290. https://doi.org/10.4040/jkan.21241
  15. Yu M, Kang KJ. The effect of nursing students' academic motivation on self-directed learning in an on-contact learning environment during COVID-19: Mediating effect of learning flow. Journal of the Korea Academia-Industrial Cooperation Society. 2021;22(11):60-72. https://doi.org/10.5762/KAIS.2021.22.11.60
  16. Han SH. The relationship between academic motivation and self-directed leaning among adult learners. The Journal of Learner-Centered Curriculum and Instruction. 2007;7(2):355-374.
  17. Kang M, Kim SE. Investigating the effects of self regulated learning strategy assisting online project based learning. Journal of Educational Technology. 2002;18(1):3-22. https://doi.org/10.17232/KSET.18.1.3
  18. Ko EJ, Nam KA, Kim EJ. Development and psychometric testing of learning immersion scale in clinical simulation: A methodological study. Nurse Education Today. 2022;113:105363. https://doi.org/10.1016/j.nedt.2022.105363
  19. Rovai AP, Wighting MJ, Baker JD, Grooms LD. Development of an instrument to measure perceived cognitive, affective, and psychomotor learning in traditional and virtual classroom higher education settings. The Internet and Higher Education. 2009;12(1):7-13. https://doi.org/10.1016/j.iheduc.2008.10.002
  20. Kim J, Kim HO, Lee M. Academic achievement of nursing college students according to academic self-efficacy: The mediating effect of major satisfaction. Child Health Nursing Research. 2019;25(2):205-213. https://doi.org/10.4094/chnr.2019.25.2.205
  21. Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology. 1986;51(6):1173-1182. https://doi.org/10.1037//0022-3514.51.6.1173
  22. Lee HE. Review of methods for testing mediating effects in recent HRD research. The Korean Journal of Human Resource Development Quarterly. 2014;16(2):225-249. https://doi.org/10.18211/kjhrdq.2014.16.3.009
  23. Padgett J, Cristancho S, Lingard L, Cherry R, Haji F. Engagement: What is it good for? The role of learner engagement in healthcare simulation contexts. Advances in Health Sciences Education. 2019;24(4):811-825. https://doi.org/10.1007/s10459-018-9865-7
  24. Khalaila R. The relationship between academic self-concept, intrinsic motivation, test anxiety, and academic achievement among nursing students: Mediating and moderating effects. Nurse Education Today. 2015;35(3):432-438. https://doi.org/10.1016/j.nedt.2014.11.001
  25. Reeves NE, Waite MC, Tuttle N, Bialocerkowski A. Simulated patient contributions to enhancing exercise physiology student clinical assessment skills. Advances in Simulation. 2019;4(Suppl 1):15. https://doi.org/10.1186/s41077-019-0097-6
  26. Wong JT, Hughes BS. Leveraging learning experience design: Digital media approaches to influence motivational traits that support student learning behaviors in undergraduate online courses. Journal of Computing in Higher Education. 2023;35(3):595-632. https://doi.org/10.1007/s12528-022-09342-1
  27. Lee JM, Yoon SI. The effects of learners' motivation, teaching presence, learning flow on learning outcomes in cyber university. Asian Journal of Education. 2011;12(1):141-166. https://doi.org/10.15753/AJE.2011.12.1.007007
  28. Kim EJ. The relationships among learning motivation, perceived achievement, and actual achievement on nursing skill performance assessment. The Journal of Korean Academic Society of Nursing Education. 2017;23(1):48-56. https://doi.org/10.5977/jkasne.2017.23.1.48
  29. Fawaz MA, Hamdan-Mansour AM. Impact of high-fidelity simulation on the development of clinical judgment and motivation among Lebanese nursing students. Nurse Education Today. 2016;46:36-42. https://doi.org/10.1016/j.nedt.2016.08.026
  30. Roh YS, Kim SS. Integrating problem-based learning and simulation: Effects on student motivation and life skills. Computers, Informatics, Nursing. 2015;33(7):278-284. https://doi.org/10.1097/CIN.0000000000000161