DOI QR코드

DOI QR Code

The influence of e-learning digital literacy on cognitive flexibility and learning flow in nursing students

간호대학생의 인지적 유연성과 이러닝 디지털 리터러시가 학습몰입에 미치는 영향

  • Jeongim Lee (Department of Nursing, Yong-in Arts & Science University) ;
  • Su Ol Kim (Department of Nursing, Kwangju Women‘s University)
  • 이정임 (용인예술과학대학교 간호학과) ;
  • 김수올 (광주여자대학교 간호학과)
  • Received : 2023.01.30
  • Accepted : 2023.05.08
  • Published : 2023.05.31

Abstract

Purpose: The purpose of this study was to identify the impact of cognitive flexibility and e-learning digital literacy on the learning flow of nursing students who had experienced e-learning. Methods: The research design for this study was a descriptive survey using convenience sampling. Data were collected using online questionnaires completed by 134 nursing students in Andong city and Pocheon city. The data were analyzed using percentages, mean values, standard deviations, Pearson's correlation coefficients, and multiple regression with SPSS for Windows version 22.0. Results: Positive correlations were found between learning flow and e-learning digital literacy (r = .43, p < .001), between learning flow and cognitive flexibility (r = .52, p < .001), and between e-learning digital literacy and cognitive flexibility (r = .65, p < .001). In the multiple regression analysis, cognitive flexibility (β = .42, p < .001) was a significant predictor that explained 27.8% of variance in learning flow. Conclusion: The results of this study show that cognitive flexibility is a factor influencing learning flow in nursing students. Based on the results of the study, educational programs aiming to improve learning flow should include methods that improve cognitive flexibility.

Keywords

References

  1. Choi HS. A study on the non-face-to-face teaching experience of college freshmen due to Covid-19. Korean Journal of General Education. 2021;15(1):273-286. https://doi.org/10.46392/kjge.2021.15.1.273
  2. Do JW. An investigation of design constraints in the process of converting face-to-face course into online course. Journal of Education & Culture. 2020;26(2):153-173. https://doi.org/10.24159/joec.2020.26.2.153
  3. Park HJ. Nursing students' experience of learning flow. Global Health and Nursing. 2017;7(2):79-88. https://doi.org/10.35144/ghn.2017.7.2.79
  4. Kim JY, Kim HO, Lee MH. 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
  5. Seo CS. A structural analysis of the factors affecting learning outcomes of lifelong education college students. The Journal of Vocational Education Research. 2017;36(6):1-25. https://doi.org/10.37210/JVER.2017.36.6.69
  6. Lee JG, Kim WJ, Lee JK. The relationship between learning motivation, learning commitment and academic achievement of nursing students who gave non-face-to-face online lectures. Journal of the Korea Academia-Industrial cooperation Society. 2020;21(11):412-419. https://doi.org/10.5762/KAIS.2020.21.11.412
  7. Lee JH. Analysis of the structural relationships among self-determination motivation to learn, metacognition, self-directed learning ability, learning flow, and school achievement. Korean Journal of Educational Research. 2010;48(2):67-92.
  8. Im SH, Hong SH. Effects of task value and presence on learning flow of nursing students in online learning environment. Journal of Learner-Centered Curriculum and Instruction. 2021;21(6):387-397. https://doi.org/10.22251/jlcci.2021.21.6.387
  9. Kim YM, Pak KH. The effects of learning presence on learning flow and learning performance in e-learning. The e-Business Studies. 2018;19(3):99-115. https://doi.org/10.20462/TeBS.2018.6.19.3.99
  10. Koo BJ, Kim AR. The effect of instructional quality, teaching presence, and professor support on academic optimism and learning flow among undergraduate nursing students in an online distance education environment. Journal of the Korean Society for Wellness. 2021;16(3):141-148. https://doi.org/10.21097/ksw.2021.08.16.3.141
  11. Kim HC, Park HS, Choi DS. Mediating effects of social support in the factors of learning flow of nursing students. The Journal of Humanities and Social Science. 2021;12(3):759-770. http://dx.doi.org/10.22143/HSS21.12.3.54
  12. Cho AY, Park IW, Ko YJ. Exploring the mediation effect of flow on the effects of digital literacy on satisfaction and achievement in smartpad based math classes. The Journal of Research in Education. 2019;32(4):163-189. https://doi.org/10.24299/kier.2019.32.4.163
  13. Kim KH, Lee GH. Analysis of structural relations among self-directed learning, learning flow, academic self-efficacy, career decision self-efficacy, and key competencies of college students. The Journal of Yeolin Education. 2020;28(4):117-143. https://doi.org/10.18230/tjye.2020.28.4.117
  14. Park JR, Seo M. Influencing factors on nursing students' learning flow during the COVID-19 pandemic: a mixed method research. Asian Nursing Research. 2022;16(2):35-44. https://doi.org/10.1016/j.anr.2021.12.006
  15. Dennis JP, Vander Wal JS. The cognitive flexibility inventory: instrument development and estimates of reliability and validity. Cognitive Therapy and Research. 2010;34(3):241-253. https://doi.org/10.1007/s10608-009-9276-4
  16. Hu Y, Spiro RJ. Design for now, but with the future in mind: a cognitive flexibility theory perspective on online learning through the lens of MOOCs. Educational Technology Research and Development. 2021;69:373-378. https://doi.org/10.1007/s11423-020-09920-z
  17. Snyder CR, Ilardi SS, Cheavens J, Michael ST, Yamhure L, Sympson S. The role of hope in cognitive-behavior therapies. Cognitive Therapy and Research. 2000;24(6):747-762. https://doi.org/10.1023/A:1005547730153
  18. Sagar ME. Predictive role of cognitive flexibility and self-control on social media addiction in university students. International Education Studies. 2021;14(4):1-10. https://doi.org/10.5539/ies.v14n4p1
  19. Arici-Ozcan N, Cekici F, Arslan R. The relationship between resilience and distress tolerance in college students: the mediator role of cognitive flexibility and difficulties in emotion regulation. International Journal of Educational Methodology. 2019;5(4):525-533. https://doi.org/10.12973/ijem.5.4.525
  20. Cho YY, Yoo SW, Lee C. Integrative literature review on factors influencing digital literacy of employees. Journal of Corporate Education and Talent Research. 2021;23(1):261-289. https://doi.org/10.46260/KSLP.23.1.10
  21. Wrahatnolo T, Suprianto B, Fransisca Y. Structural model of metacognition in online learning during the Covid-19 pandemic. 2021 Fourth International Conference on Vocational Education and Electrical 354 Engineering (ICVEE); 2021;Surabaya, Indonesia. IEEE; 2021. p. 1-7.
  22. Reddy P, Sharma B, Chaudhary K. Digital literacy: a review of literature. International Journal of Technoethics. 2020;11(2):65-94. https://doi.org/10.4018/IJT.20200701.oa1
  23. Yang MS, Kim JK. Development a scale for e-learning digital literacy. The Journal of Educational Information and Media. 2016;22(3):485. https://doi.org/10.15833/KAFEIAM.22.3.485
  24. Kim SS. Factors affecting attitudes and digital literacy toward online learning of nurses. Journal of the Korea Convergence Society. 2020;11(9):367-374. https://doi.org/10.15207/JKCS.2020.11.9.367
  25. Terry J, Davies A, Williams C, Tait S, Condon L. Improving the digital literacy competence of nursing and midwifery students: a qualitative study of the experiences of NICE student champions. Nurse Education Practice. 2019;34:192-198. https://doi.org/10.1016/j.nepr.2018.11.016
  26. 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
  27. Lee HK, Kim LA, Kim JE, Lee YR, Lee JM, Han HS, et al. Converged factors affecting learning flow in nursing college students. Journal of Convergence for Information Technology. 2017;7(5):15-23. https://www.earticle.net/Article/A311580 https://doi.org/10.22156/CS4SMB.2017.7.5.015
  28. Heo SY. Role of cognitive flexibility in the relationship between perfectionism and psychological maladjustment [master's thesis]. Seoul: Seoul National University; 2011. 1-93.
  29. Suk IB, Kang EC. Development and validation of the learning flow scale. Journal of Educational Technology. 2007;23(1): 121-154. https://doi.org/10.17232/KSET.23.1.121
  30. Lee YJ, Choi WY. The analysis of structural relations among life stress, depression, social support and cognitive flexibility of university students. The Journal of Employment and Career. 2021;11(2):81-108. http://dx.doi.org/10.35273/jec.2021.11.2.004
  31. Kim JS, Cheon SM. The mediating effect of cognitive flexibility in the relationship between career barriers and career preparation behaviors of university students. Korea Social Science Studies. 2021;40:149-169. https://doi.org/10.18284/jss.2021.12.40.3.149
  32. Ji YO, Kim JW. Analysis of the structural relationships among job-seeking stress, cognitive flexibility, social support, depression and suicidal ideation of university students. The Journal of Learner-Centered Curriculum and Instruction. 2019;19:743-770. https://doi.org/10.22251/jlcci.2019.19.22.743
  33. Kim SO. Effects of writing reflective journal on meta-cognition, learning flow and self readership of nursing students in health assessment skills course. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology. 2019;9:645-653. https://doi.org/10.35873/ajmahs.2019.9.2.063
  34. Bertiz Y, Karoglu AK. Distance education students' cognitive flexibility levels and distance education motivations. International Journal of Research in Education and Science. 2020;6(4):638-648. https://doi.org/10.46328/ijres.v6i4.1022
  35. Yildiz Durak H. Examining various variables related to authentic learning self-efficacy of university students in educational online social networks: creative self-efficacy, rational experiential thinking, and cognitive flexibility. Current Psychology. 2022;1-10. https://doi.org/10.1007/s12144-022-03211-x