DOI QR코드

DOI QR Code

Developing Measurement of Problem-Based Learning Effectiveness: Applying Rasch Analysis

문제중심학습 (Problem-Based Learning) 효과 측정 도구 개발: Rasch 분석을 중심으로

  • Han, Sang-Woo (Department of Occupational Therapy, Kwangju Women's University) ;
  • Choi, Seong-Youl (Department of Occupational Therapy, Kwangju Women's University) ;
  • Choi, In Mook (Department of Airline Service, Kwangju Women's University)
  • 한상우 (광주여자대학교 작업치료학과) ;
  • 최성열 (광주여자대학교 작업치료학과) ;
  • 최인묵 (광주여자대학교 항공서비스학과)
  • Received : 2020.02.04
  • Accepted : 2020.03.20
  • Published : 2020.03.28

Abstract

Problem-Based Learning is the most commonly used teaching method in the field of education as the demand for talented people with creative problem-solving abilities has increased in recent society. In this study, we developed a tool that can simply and regularly measure the learning effects of applying Problem-Based Learning on the classroom. Twenty-two preliminary items for the development were constructed by gathering expert opinions about items collected in existing research of Problem-Based Learning effects measurement. Using this preliminary items, data were collected from 124 students who took the subject-based study. And the validity and reliability were verified through Rash analysis. 11 of 124 students and 1 of 22 items were found to nonconforming and excluded. In addition, the optimal scale for the configuration of this tool was found to be a four-point scale, and the reliability of separation on the subject and the item was found to be excellent. We hope that the assessment tools of Problem-Based Learning effectiveness developed in this study will be actively used to measure learning effectiveness and manage the quality of education.

최근 사회에서 창의적 문제해결 역량을 갖춘 인재에 대한 요구가 증가하면서 문제중심학습은 교육현장에서 가장 보편적으로 활용되고 있는 새로운 교수법이다. 이러한 교수법 적용에 따른 학습 효과를 수업 현장에서 간편하고 정기적으로 측정할 수 있는 도구를 본 연구를 통해 개발하였다. 기존 문제중심학습 효과 측정 연구에 활용된 문항을 수집하고, 전문가 의견 수렴을 통해 도구 개발을 위한 22개 예비 문항을 구성하였다. 이 문항을 이용하여 문제중심학습을 적용한 교과목을 수강한 학생 124명을 대상으로 데이터를 수집하였다. 이후 Rasch 분석을 통해 타당도와 신뢰도를 검증하였다. 124명의 학생 중 11명이 부적합, 22개 예비 문항 중 1개 문항이 부적합 판정되어 제외하였다. 또한 본 도구 구성을 위한 최적 척도는 4점 척도로 확인되었으며, 대상자와 문항에 대한 분리 신뢰도는 우수한 수준으로 확인되었다. 본 연구를 통해 개발한 문제중심학습의 효과 측정도구가 교육 현장에서 학습효과 측정 및 교육의 질 관리를 위해 적극 활용되길 기대한다.

Keywords

References

  1. S. W. Ree & Y. M. Koh. (2017). The Aims of Education in the Era of AI. Journal for History of Mathematics, 30(6), 341-351. https://doi.org/10.14477/jhm.2017.30.6.341
  2. D. J. Treffinger, S. G. Isaksen & Stead-Dorval, K. B. (2005). Creative problem solving: An introduction. Waco : Prufrock Press Inc..
  3. C. S. Park, S. H. Park & S. Y. Jeong. (2010). Research on applicability of Teaching-Learning Methods for Creative Problem Solving to a course in University. Journal of Engineering Education Research, 13(1), 23-37. https://doi.org/10.18108/jeer.2010.13.1.23
  4. C. H. Kim & S. G. Jeon. (2018). Problem-Based Learning for Enhancing Students Creative Problem-Solving Abilities : Two Cases of Higher Education in. Korean Journal of Resources Development, 21(4), 299-325. https://doi.org/10.24991/kjhrd.2018.12.21.4.299
  5. S. J. Chae. (2005). Study on reliability and validity of student assessment in problem based learning : focused on the case of A medical college. Doctoral dissertation. Sungshin Women's University, Seoul.
  6. H. J. Lee, S. H. Im & S. M. Kang. (2019). Implications for Innovation in Higher Education from Minerva Schools. Journal of Lifelong Learning Society 15(2), 59-84. https://doi.org/10.26857/JLLS.2019.5.15.2.59
  7. S. Glen & K. Wilkie. (2017). Problem-based learning in nursing: A new model for a new context. London : Macmillan International Higher Education.
  8. M. Shon & J. M. Ha. (2008). A Meta-Analysis on the Effects of Problem-Based Learning. The Journal of Educational Information and Media, 14(3), 225-251.
  9. E. H. Yew & K. Goh. (2016). Problem-based learning: An overview of its process and impact on learning. Health Professions Education, 2(2), 75-79. https://doi.org/10.1016/j.hpe.2016.01.004
  10. J. S. Shin. (2004). Study on the Factors Influencing on the Effect of Collaborative Learning in the Problem-based Learning of Medical School. Doctoral dissertation. Hanyang University, Seoul.
  11. S. H. Kim, O. J. Kim, E. H. Park & J. Y. Shin. (2006). Does PBL improve Creativity and Creative Problem Solving Ability?. The Journal of Child Education, 15(3), 285-297.
  12. S. Y. Jung & E. K. Lee. (2006). Educational Needs of Nursing Students about Program Outcomes. Journal of Learner-Centered Curriculum and Instruction, 17(10), 1-25. DOI : 10.22251/jlcci.2017.17.10.1
  13. Y. Y. Hwang, M. S. Chu & C. S. Park. (2007). The Effects of Problem Based Learning(PBL) in Nursing Students Studying through PBL Curriculum. The Journal of Korean Academic Society of Nursing Education, 13(2), 155-161.
  14. J. Y. Park & A. J. Woo. (2017). A meta-analysis on the learning effects in problem based learning(PBL). Journal of Learner-Centered Curriculum and Instruction, 17(11), 69-93. DOI : 10.22251/jlcci.2017.17.11.69
  15. S. E. Lee. (2003). The Development and Implementation of PBL(Problem-Based Learning) Module in Maternity Nursing Based on Clinical Cases. Journal of Korean Academy of Nursing, 9(1), 81-93.
  16. H. S. Kim, I. S. Ko, W. H. Lee, S. Y. Bae & J. O. Shim. (2004). Evaluation of Problem-Based Learning in an Undergraduate Nursing Course. Journal of Korean Academy of Children Health Nursing, 10(4), 395-405.
  17. W. S. Lee, S. H. Park & E. Y. Choi. (2008). Development of a Korean Problem Solving Process Inventory for Adults. Journal of Korean Academy Fundamentals of Nursing, 15(4), 548-557.
  18. C. Y. Lee. et al. (2008). Evaluation research on the application of Problem-Based Learning program in community health nursing. The Journal of Korean Community Nursing, 14(4), 1-8.
  19. J. L. F. Choy, G. O'Grady & J. I. Rotgans. (2012). Is the Study Process Questionnaire (SPQ) a good predictor of academic achievement? Examining the mediating role of achievement-related classroom behaviours. Instructional Science, 40(1), 159-172. https://doi.org/10.1007/s11251-011-9171-8
  20. P. Zeegers. (2002). A revision of the Biggs' study process questionnaire (R-SPQ). Higher Education Research & Development, 21(1), 73-92. https://doi.org/10.1080/07294360220124666
  21. B. R. Belland, B. F. French & P. A. Ertmer. (2009). Validity and problem-based learning research: A review of instruments used to assess intended learning outcomes. Interdisciplinary Journal of Problem-based learning, 3(1), 59-89.
  22. C. H. Lawshe. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575. DOI : 10.1111/j.1744-6570.1975.tb01393.x
  23. L. H. Ludlow & S. M. Haley. (1995). Rasch model logits: Interpretation, use, and transformation. Educational and Psychological Measurement, 55(6), 967-975. DOI : 10.1177/0013164495055006005
  24. T. G. Bond & C. M. Fox. (2001). Applying the Rasch Model: Fundamental Measurement in the Human Sciences. New Jersey: Lawrence Erlbaum associates.
  25. A. Kjellberg, L. Haglund, K. Forsyth & G. Kielhofner. (2003). The measurement properties of the swedish version of the assessment of communication and interaction skills. Scandinavian Journal of Caring Sciences, 17(3), 271-277. DOI : 10.1046/j.1471-6712.2003.00225.x
  26. A. L. Nilsson, K. S. Sunnerhagen & G. Grimby. (2005). Scoring alternatives for FIM in neurological disorders applying Rasch analysis. Acta neurologica Scandinavica, 111(4), 264-273. DOI : 10.1111/j.1600-0404.2005.00404.x
  27. J. M. Linacre. (2002). Optimizing rating scale category effectiveness. Journal of Applied Measurement, 3(1), 85-106.
  28. P. W. Duncan, R. K. Bode, S. M. Lai & S. Perera. (2003). Rasch analysis of a new stroke-specific outcome scale: the Stroke Impact Scale. Archives of Physical Medicine and Rehabilitation, 84(7), 950-963. DOI : 10.1016/S0003-9993(03)00035-2
  29. R. K. Hambleton. (1991). Fundamentals of item response theory (Vol. 2). Thousand Oaks: Sage publications.
  30. F. M. Lord, M. R. Novick & A. Birnbaum. (1968). Statistical theories of mental test scores. Oxford, England: Addison-Wesley.
  31. V. L. Handa & R. W. Massof. (2004). Measuring the severity of stress urinary incontinence using the Incontinence Impact Questionnaire. Neurourology and Urodynamics, 23(1), 27-32. DOI : 10.1002/nau.10163
  32. B. D. Wright & J. M. Linacre. (1992). Combining and splitting categories. Rasch Measurement Transactions, 6(3), 233-235.
  33. J. S. Lee, C. H. Yi, K. Y. Chang & H. C. Kwon. (2007). The Development of Korean Activities of Daily Living Evaluation Tools for Persons With Stroke Out-patient by Using Rasch Analysis. The Journal of Korean Society of Occupational Therapy, 15(1), 1-11.
  34. J. A. Lee, C. H. Yi, S. Y. Park & S. J. Hwang. (2006). Application of Rasch Analysis to the Korean Berg Balance Scale. Physical Therapy Korea. 13(3), 49-56.
  35. D. G. Hong, J. S. Lee, S. K. Kim & B. J. Jeon. (2013). The Development of Swallowing Function Test of Stroke Victims Using a Rasch Analysis. The Journal of Korean Society of Occupational Therapy, 21(4), 71-89. DOI : 10.14519/jksot.2013.21.4.07
  36. C. MacKnight & K. Rockwood. (2000). Rasch analysis of the hierarchical assessment of balance and mobility (HABAM). Journal of Clinical Epidemiology, 53(12), 1242-1247. DOI : 10.1016/S0895-4356(00)00255-9
  37. J. Funk, C. Fox, M. Chan & K. Curtiss. (2008). The development of the Children's Empathic Attitudes Questionnaire using classical and Rasch analyses. Journal of Applied Developmental Psychology, 29(3), 187-196. DOI : 10.1016/j.appdev.2008.02.005
  38. K. Y. Park. (2014). Applying Rasch Analysis for Validation of School Function Assessment. Journal of The Korea Contents Association, 14(3), 269-276. DOI : 10.5392/JKCA.2014.14.03.269
  39. T. Bond & C. M. Fox. (2015). Applying the Rasch model: Fundamental measurement in the human sciences. London: Routledge.