본문 바로가기
KERD
논문KCI 등재

온라인 학습에서 의과대학생의 동기조절 프로파일 유형에 따른 인지학습과 학습몰입 간 관계 분석

Latent Profile Analysis of Medical Students’ Use of Motivational Regulation Strategies for Online Learning

2

조회

0

다운로드

2

인용

0

참고문헌

키워드

초록

Due to the coronavirus disease 2019 pandemic, the new norm of online learning has been recognized as core to medical institutions for academic continuity, and students are expected to be motivated and engaged in learning while maintaining distance from other peers and educators. To facilitate students’ and educators’ newly defined roles in online medical education settings, it is crucial to understand how students are actively motivated and engaged in learning. Hence, this study explored medical students’ motivational regulation profiles and examined the effects of motivational regulation strategies (MRS) on cognitive learning and learning engagement for online learning. Data were collected after the end of the first semester in 2020 from a sample of 334 medical students enrolled at a public university school of medicine. Latent profile analysis indicated three subgroups with different motivational regulation profiles: the low-profile, medium-profile, and high-profile groups. Regarding different MRS patterns in the high-profile group, mastery self-talk, performance approach self-talk, and the self-consequating strategy appeared to be most applicable for regulating learners’ motivation. Analysis of variance showed that the profile groups with higher levels of MRS use were connected to a higher willingness to use cognitive learning strategies and a higher degree of engagement in online learning. The findings of this study emphasize the use of specific sets of MRS to support learning motivation and the need to design effective self-regulated learning environments in online medical education settings.

Abstract

Due to the coronavirus disease 2019 pandemic, the new norm of online learning has been recognized as core to medical institutions for academic continuity, and students are expected to be motivated and engaged in learning while maintaining distance from other peers and educators. To facilitate students’ and educators’ newly defined roles in online medical education settings, it is crucial to understand how students are actively motivated and engaged in learning. Hence, this study explored medical students’ motivational regulation profiles and examined the effects of motivational regulation strategies (MRS) on cognitive learning and learning engagement for online learning. Data were collected after the end of the first semester in 2020 from a sample of 334 medical students enrolled at a public university school of medicine. Latent profile analysis indicated three subgroups with different motivational regulation profiles: the low-profile, medium-profile, and high-profile groups. Regarding different MRS patterns in the high-profile group, mastery self-talk, performance approach self-talk, and the self-consequating strategy appeared to be most applicable for regulating learners’ motivation. Analysis of variance showed that the profile groups with higher levels of MRS use were connected to a higher willingness to use cognitive learning strategies and a higher degree of engagement in online learning. The findings of this study emphasize the use of specific sets of MRS to support learning motivation and the need to design effective self-regulated learning environments in online medical education settings.

참고문헌 (41)

  1. Huh JS, "The Korean Consortium for e-learning in medical education", Korean Med Educ Rev, 21(1), pp.60~61 (2019)
  2. 임은정, "의학교육에 있어서 이러닝(e-learning)의 가능성과 한계", 의학교육논단, 11(1), pp.21~33 (2009), 연세대학교 의과대학
  3. 기창원, "의학교육에 있어서 e-러닝의 발전 방향", Korean Journal of Medical Education, 18(3), pp.221~224 (2006), 한국의학교육학회
  4. 천경희, "의과대학생의 자기조절학습이 진로적응에 미치는 영향", 직업교육연구, 30(4), pp.161~177 (2011), 한국직업교육학회
  5. Yun H, "Building a structural model of motivational regulation and learning engagement for undergraduate and graduate students in higher education", Stud High Educ, 45(2), pp.271~285 (2020)
  6. Pintrich PR, "A conceptual framework for assessing motivation and self-regulated learning in college students", Educ Psychol Rev, 16(4), pp.385~407 (2004)
  7. Zimmerman BJ, "Becoming a self-regulated learner : an overview", Theory Pract, 41(2), pp.64~70 (2002)
  8. Kim AY, "Academic motivation: theory, research, and application" (2010), Hakjisa
  9. Keller JM, "Motivational design for learning and performance: the ARCS model approach" (2010), Springer
  10. 조일현, "대학생의 학습동기, 인지전략 및 학업성취 간의 구조적 관계 분석", 교육과학연구, 45(2), pp.77~98 (2014), 교육과학연구소
  11. Wolters CA, "Regulation of motivation : evaluating an underemphasized aspect of self-regulated learning", Educ Psychol, 38(4), pp.189~205 (2003)
  12. Zimmerman BJ, "Investigating self-regulation and motivation : historical background, methodological developments, and future prospects", Am Educ Res J, 45(1), pp.166~183 (2008)
  13. 박승호, "자기조절학습의 발달을 위한 동기적 요인의 역할", 교육심리연구, 17(1), pp.55~70 (2003), 한국교육심리학회
  14. 김동호, "온라인 학습자와 면대면 학습자 간 동기조절전략 사용이 인지적 자기조절학습과 학업성취에 미치는 영향", 열린교육연구, 28(5), pp.347~373 (2020), 한국열린교육학회[DOI]
  15. Schwinger M, "How do motivational regulation strategies affect achievement : Mediated by effort management and moderated by intelligence", Learn individ Differ, 19(4), pp.621~627 (2009)
  16. Wolters CA, "Self-regulated learning and college students' regulation of motivation", J Educ Psychol, 90(2), pp.224~235 (1998)
  17. Schwinger M, "Not all roads lead to Rome : comparing different types of motivational regulation profiles", Learn Individ Differ, 22(3), pp.269~279 (2012)
  18. Schwinger M, "Effects of motivational regulation on effort and achievement : a mediation model", Int J Educ Res, 56, pp.35~47 (2012)
  19. Park S, "The influence of motivational regulation strategies on online students’ behavioral, emotional, and cognitive engagement", Am J Distance Educ, 32(1), pp.43~56 (2018)
  20. Yun H, "The influence of academic level and course delivery mode on the use of motivational regulation strategies and learning engagement", Australas J Educ Technol, 36(3), pp.89~103 (2020)
  21. Stegers-Jager KM, "Motivation, learning strategies, participation and medical school performance", Med Educ, 46(7), pp.678~688 (2012)
  22. Park S, "Relationships between motivational strategies and cognitive learning in distance education courses", Distance Educ, 38(3), pp.302~320 (2017)
  23. Denson N, "Latent class analysis in higher education : an illustrative example of pluralistic orientation", Res High Educ, 55(5), pp.508~526 (2014)
  24. Porcu M, "Introduction to latent class analysis with applications", J Early Adolesc, 37(1), pp.129~158 (2017)
  25. 이정윤, "고등학생의 학습동기조절전략 사용에 따른 군집유형", 상담학연구, 15(5), pp.2001~2018 (2014), 한국상담학회[DOI]
  26. 장재홍, "중․고등학생의 학습전략 수준 잠재프로파일 분석과 영향요인 탐색", 교육공학연구, 36(1), pp.105~135 (2020), 한국교육공학회[DOI]
  27. Pintrich PR, "Predictive validity and reliability of the Motivated Strategies for Learning Questionnaire", Educ Psychol Meas, 53(3), pp.801~813 (1993)
  28. Fredricks JA, "School engagement : potential of the concept, state of the evidence", Rev Educ Res, 74(1), pp.59~109 (2004)
  29. Sun JC, "Situational interest, computer self-efficacy and selfregulation : their impact on student engagement in distance education", Br J Educ Technol, 43(2), pp.191~204 (2012)
  30. Sen S, "Comparison of relative fit indices for diagnostic model selection", Appl Psychol Meas, 41(6), pp.422~438 (2017)
  31. Celeux G, "An entropy criterion for assessing the number of clusters in a mixture model", J Classif, 13(2), pp.195~212 (1996)
  32. Nylund KL, "Deciding on the number of classes in latent class analysis and growth mixture modeling : a Monte Carlo simulation study", Struct Equ Model, 14(4), pp.535~569 (2007)
  33. 윤헌철, "온라인 학습자의 동기조절전략 사용 군집유형이 인지학습과 학습몰입에 미치는 영향", 정보교육학회논문지, 25(1), pp.91~101 (2021), 한국정보교육학회[DOI]
  34. 권성연, "성인학습자의 성취목표지향성 및 자기조절학습의 관계 연구: 성인 계속교육 학습자와 일반 대학생 간 비교", 교육공학연구, 24(4), pp.27~52 (2008), 한국교육공학회
  35. 이현우, "과제기반 협력학습에서 소집단 구성원의 자기조절학습 수준이 집단자기조절, 소집단 성과 및 활동 만족도에 미치는 영향", 교육방법연구, 24(1), pp.171~183 (2012), 한국교육방법학회[DOI]
  36. 윤소정, "문제바탕학습의 실시기간이 의학전문대학원 학생들의 학습동기와 자기주도학습 준비도에 미치는 영향", Korean Journal of Medical Education, 22(1), pp.23~31 (2010), 한국의학교육학회
  37. 주현재, "의료정보 교육을 위한 웹기반 PBL 교수·학습 콘텐츠 개발 모형", 한국콘텐츠학회 논문지, 10(10), pp.246~254 (2010), 한국콘텐츠학회
  38. 김남익, "대학에서의 거꾸로 학습(Flipped learning) 사례 설계 및 효과성 연구: 학습동기와 자아효능감을 중심으로", 교육공학연구, 30(3), pp.467~492 (2014), 한국교육공학회
  39. Park S, "Educational technology beyond content: a new focus for learning", pp.217~231 (2020), Springer
  40. Daumiller M, "Supporting self-regulated learning with digital media using motivational regulation and metacognitive prompts", J Exp Educ, 87(1), pp.161~176 (2019)
  41. 류은수, "e-PBL 교수학습 설계모형이 ARCS모형을 매개로 한 동기요인과 학생성과에 미치는 구조방정식 모형 분석", 교육평가연구, 27(3), pp.727~756 (2014), 한국교육평가학회

관련 논문AI추천

이 간행물의 다른 논문 (9건)