Abstract
Failure is an inevitable human experience, which can offer great learning opportunities. Yet, in current educational contexts, failure has largely been eschewed to minimize students’ frustration and confusion. Such a failure-avoidance approach is also reflected in the cases used for instruction. To maximize learning, more studies are needed to explore effective ways to better utilize failure cases for educational purposes. This qualitative study aimed to explore how students perceived their experience of learning a case-based online module that uses failure cases and discover in what ways using failure cases in the module impacted students' perceived learning experience. To answer the research questions, 16 3rd-year veterinary students were recruited for individual interviews. Learning experience survey data and students' written responses to reflection and review questions embedded in the module were collected from 38 students. Through thematic analysis of the interview data and students' written responses, three themes regarding students' learning experience were identified, including engaged in the module both cognitively and emotionally, enjoyed listening to experts' feedback, and eye-opening and reassuring experience of hearing experts' failure stories, which were supported by survey results. Regarding the impact of using failure cases on students' perceived learning experience, four major themes are identified including enhancing engagement, emotional reassurance and confidence builder, creating bigger impact, and encouraging improvement. Based on the discussions of the findings of the study, implications for instructional design regarding the use of failure cases are provided to help educators create more effective case-based learning environments.
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References
Adams, D. M., McLaren, B. M., Durkin, K., Mayer, R. E., Rittle-Johnson, B., Isotani, S., et al. (2014). Using erroneous examples to improve mathematics learning with a web-based tutoring system. Computers in Human Behavior, 36, 401–411. https://doi.org/10.1016/j.chb.2014.03.053.
Ahern, K. J. (1999). Pearls, pith, and provocation: Ten tips for reflexive bracketing. Qualitative Health Research, 9(3), 407–411. https://doi.org/10.1177/104973239900900309.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control (pp. 11–39). Heidelberg, Berlin: Springer.
Andrieux, M., & Proteau, L. (2013). Observation learning of a motor task: Who and when? Experimental Brain Research, 229(1), 125–137. https://doi.org/10.1007/s00221-013-3598-x.
Baumeister, R. F., Vohs, K. D., DeWall, C. N., & Zhang, L. (2007). How emotion shapes behavior: Feedback, anticipation, and reflection, rather than direct causation. Personality and Social Psychology Review, 11(2), 167–203. https://doi.org/10.1177/1088868307301033.
Booth, J. L., Lange, K. E., Koedinger, K. R., & Newton, K. J. (2013). Using example problems to improve student learning in algebra: Differentiating between correct and incorrect examples. Learning and Instruction, 25, 24–34. https://doi.org/10.1016/j.learninstruc.2012.11.002.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa.
Briner, R. B., & Kiefer, T. (2005). Psychological research into the experience of emotion at work: Definitely older, but are we any wiser? In N. M. Ashkanasy, C. E. J. Hartel, & W. J. Zerbe (Eds.), The effect of affect in organizational settings (Vol. 1, pp. 289–315). Oxford: Elsevier.
Chi, M. T. H., & Glaser, R. (1985). Problem solving ability. In R. Sternberg (Ed.), Human abilities: An information-processing approach (pp. 227–257). San Francisco: W. H. Freeman & Co.
Choi, I., Hong, Y. C., Park, H., & Lee, Y. (2013). Case-based learning for anesthesiology: Enhancing dynamic decision-making skills through cognitive apprenticeship and cognitive flexibility. In R. Luckin, P. Goodyear, B. Grabowski, S. Puntambeker, J. Underwood, & N. Winters (Eds.), Handbook on design in educational technology (pp. 230–240). New York: Routledge.
Cutcliffe, J. (2003). Reconsidering reflexivity: Introducing the case for intellectual entrepreneurship. Qualitative Health Research, 13(1), 136–148. https://doi.org/10.1177/1049732302239416.
D’Mello, S., Lehman, B., Pekrun, R., & Graesser, A. (2014). Confusion can be beneficial for learning. Learning and Instruction, 29, 153–170. https://doi.org/10.1016/j.learninstruc.2012.05.003.
Delatte, N. (2008). Beyond failure: Forensic case studies for civil engineers. Reston, VA: American Society of Civil Engineers.
Delatte, N., & Rens, K. L. (2002). Forensics and case studies in civil engineering education: State of the art. Journal of Performance of Constructed Facilities, 16(3), 98–109.
Domuracki, K., Wong, A., Olivieri, L., & Grierson, L. E. M. (2015). The impacts of observing flawed and flawless demonstrations on clinical skill learning. Medical Education, 49(2), 186–192. https://doi.org/10.1111/medu.12631.
Elleithy, W., Kang, C. W., & Lau, T. L. (2016). Assessing the use of failure case studies in civil engineering education. MATEC Web of Conferences, 47, 04009. https://doi.org/10.1051/matecconf/20164704009.
Ellis, S., Mendel, R., & Nir, M. (2006). Learning from successful and failed experience: The moderating role of kind of after-event review. Journal of Applied Psychology, 91(3), 669–680. https://doi.org/10.1037/0021-9010.91.3.669.
Fischer, M. A., Mazor, K. M., Baril, J., Alper, E., DeMarco, D., & Pugnaire, M. (2006). Learning from mistakes: Factors that influence how students and residents learn from medical errors. Journal of General Internal Medicine, 21(5), 419–423. https://doi.org/10.1111/j.1525-1497.2006.00420.x.
George, J. M. (2000). Emotions and leadership: The role of emotional intelligence. Human Relations, 53(8), 1027–1055. https://doi.org/10.1177/0018726700538001.
Gino, F., & Pisano, P. (2011). Why leaders don’t learn from success. Harvard Business Review, 89(4), 68–74.
Gray, J. A. (1990). Brain systems that mediate both emotion and cognition. Cognition and Emotion, 4(3), 269–288. https://doi.org/10.1080/02699939008410799.
Guilbert, J. J. (2004). The medical teacher’s job: Working together to zero in on patient safety, and zero out preventable errors. Medical Teacher, 26(4), 299–300. https://doi.org/10.1080/01421590410001702274.
Heimbeck, D., Frese, M., Sonneentag, S., & Keith, N. (2003). Integrating errors into the training process: The function of error management instructions and the role of goal orientation. Personnel Psychology, 56(2), 333–361. https://doi.org/10.1111/j.1744-6570.2003.tb00153.x.
Ilgen, D. R., & Davis, C. A. (2000). Bearing bad news: Reactions to negative performance feedback. Applied Psychology: An International Review, 49(3), 550–565. https://doi.org/10.1111/1464-0597.00031.
Izard, C. E. (1991). The psychology of emotions. New York: Plenum Press.
Jonassen, D. H. (2000). Toward a design theory of problem solving. Educational Technology Research and Development, 48(4), 63–85. https://doi.org/10.1007/BF02300500.
Jonassen, D. H. (2011). Learning to solve problems: A handbook for designing problem-solving learning environments. New York: Routledge.
Kanfer, R., Ackerman, P. L., & Heggestad, E. D. (1996). Motivational skills and self-regulation for learning: A trait perspective. Learning and Individual Differences, 8(3), 185–209. https://doi.org/10.1016/S1041-6080(96)90014-X.
Kapur, M. (2010). Productive failure in mathematical problem solving. Instructional Science, 38(6), 523–550. https://doi.org/10.1007/s11251-009-9093-x.
Kapur, M. (2011). A further study of productive failure in mathematical problem solving: Unpacking the design components. Instructional Science, 39(4), 561–579. https://doi.org/10.1007/s11251-010-9144-3.
Kapur, M. (2014). Productive failure in learning math. Cognitive Science, 38(5), 1008–1022. https://doi.org/10.1111/cogs.12107.
Kohn, L. T., Corrigan, J. M., & Donaldson, M. S. (2000). To err is human: Building a safer health system. Washington, DC: National Academy Press.
Kolodner, J. L. (1983). Towards an understanding of the role of experience in the evolution from novices to expert. International Journal of Man-Machine Studies, 19(5), 497–518. https://doi.org/10.1016/S0020-7373(83)80068-6.
Kolodner, J. L., Owensby, J. N., & Guzdial, M. (2004). Case-based learning aids. In D. H. Jonassen (Ed.), Handbook of research for educational communications and technology (2nd ed., pp. 829–862). Mahwah, NJ: Lawrence Erlbaum Associates Inc.
Kopp, V., Stark, R., & Fischer, M. R. (2008). Fostering diagnostic knowledge through computer-supported, case-based worked examples: Effects of erroneous examples and feedback. Medical Education, 42(8), 823–829. https://doi.org/10.1111/j.1365-2923.2008.03122.x.
Kopp, V., Stark, R., Kuhne-Eversmann, L., & Fischer, M. R. (2009). Do worked examples foster medical students’ diagnostic knowledge of hyperthyroidism? Medical Education, 43(12), 1210–1217. https://doi.org/10.1111/j.1365-2923.2009.03531.x.
Lazarus, R. S. (1991). Emotion and adaptation. New York: Oxford University Press.
Lincoln, Y. S., & Guba, E. G. (1985). But is it rigorous? Trustworthiness and authenticity in naturalistic evaluation. In D. D. Williams (Ed.), Naturalistic evaluation (pp. 73–84). San Francisco: Jossey-Bass.
Lin-Siegler, X., Ahn, J. N., Chen, J., Fang, F. F. A., & Luna-Lucero, M. (2016). Even Einstein struggled: Effects of learning about great scientists’ struggles on high school students’ motivation to learn science. Journal of Educational Psychology, 108(3), 314–328. https://doi.org/10.1037/edu0000092.
Lottero-Perdue, P. S., & Parry, E. A. (2017). Elementary teachers’ reflections on design failures and use of fail words after teaching engineering for two years. Journal of Pre-College Engineering Education Research, 7(1), 1–24. https://doi.org/10.7771/2157-9288.1160.
Martinez, W., & Lo, B. (2008). Medical students’ experiences with medical errors: An analysis of medical student essays. Medical Education, 42(7), 733–741. https://doi.org/10.1111/j.1365-2923.2008.03109.x.
McLaren, B. M., Adams, D. M., & Mayer, R. E. (2015). Delayed learning effects with erroneous examples: A study of learning decimals with a web-based tutor. International Journal of Artificial Intelligence in Education, 25(4), 520–542. https://doi.org/10.1007/s40593-015-0064-x.
Merriam, S. B. (1998). Qualitative research and case study applications in education (2nd ed.). San Francisco: Jossey-Bass.
Ohlsson, S. (1996). Learning from performance errors. Psychological Review, 103(2), 241–262. https://doi.org/10.1037/0033-295X.103.2.241.
Patton, M. Q. (2015). Qualitative research and evaluation methods (4th ed.). Thousand Oaks, CA: Sage.
Piaget, J. (1977). The development of thought: equilibration of cognitive structures (Vol. viii). Oxford: Viking.
Raine, J. E. (2011). Which errors do the medical defense organizations most frequently report? Archives of Disease in Childhood, 96(8), 783–784. https://doi.org/10.1136/adc.2011.211110.
Reason, J. T. (1990). Human error (1st ed.). New York: Cambridge University Press.
Rickles, N. M., Noland, C. M., Tramontozzi, A., & Vinci, M. A. (2010). Pharmacy student knowledge and communication of medication errors. American Journal of Pharmaceutical Education, 74(4), 1–10. https://doi.org/10.5688/aj740460.
Rohbanfard, H., & Proteau, L. (2011). Learning through observation: A combination of expert and novice models favors learning. Experimental Brain Research, 215(3–4), 183–197. https://doi.org/10.1007/s00221-011-2882-x.
Rolls, L., & Relf, M. (2006). Bracketing interviews: Addressing methodological challenges in qualitative interviewing in bereavement and palliative care. Mortality, 11(3), 286–305. https://doi.org/10.1080/13576270600774893.
Rong, H., & Choi, I. (2019). Integrating failure in case-based learning: A conceptual framework for failure classification and its instructional implications. Educational Technology Research and Development, 67(3), 617–637. https://doi.org/10.1007/s11423-018-9629-3.
Rose, M. A., & Hunt, B. (2012). Learning from engineering failures: A case study of the Deepwater Horizon Technology and Engineering. Teacher, 71(5), 5–11.
Roulston, K. (2010). Reflective Interviewing. Los Angeles: Sage.
Schank, R. (1999). Dynamic memory revisited (2nd ed.). Cambridge: Cambridge University Press.
Schmitz, F. M., Schnabel, K. P., Stricker, D., Fischer, M. R., & Guttormsen, S. (2017). Learning communication from erroneous video-based examples: A double-blind randomized controlled trial. Patient Education and Counseling, 100(6), 1203–1212. https://doi.org/10.1016/j.pec.2017.01.016.
Schwarz, N. (1990). Feelings as information: Informational and motivational functions of affective states. In E. T. Higgins & R. M. Sorrentino (Eds.), Handbook of motivation and cognition: Foundations of social behavior (Vol. 2, pp. 527–561). New York: Guilford Press.
Seo, M. G., Barrett, L. F., & Bartunek, J. M. (2004). The role of affective experience in work motivation. Academy of Management Review, 29(3), 423–439. https://doi.org/10.2307/20159052.
Simpson, A., & Maltese, A. (2017). “Failure is a major component of learning anything”: The role of failure in the development of STEM professionals. Journal of Science Education and Technology, 26(2), 223–235. https://doi.org/10.1007/s10956-016-9674-9.
Stark, R., Kopp, V., & Fischer, M. R. (2011). Case-based learning with worked examples in complex domains: Two experimental studies in undergraduate medical education. Learning and Instruction, 21(1), 22–33. https://doi.org/10.1016/j.learninstruc.2009.10.001.
Sweller, J., van Merrienboer, J. J. G., & Pass, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251–296. https://doi.org/10.1023/A:1022193728205.
Tawfik, A., & Jonassen, D. H. (2013). The effects of successful versus failed cases on argumentation while solving decision-making problems. Educational Technology Research and Development, 61(3), 385–406. https://doi.org/10.1007/s11423-013-9294-511423-013-9294-5.
Tawfik, A., Rong, H., & Choi, I. (2015). Failing to learn: Towards a unified design approach to failure-based learning. Educational Technology Research and Development, 63(6), 975–994. https://doi.org/10.1007/s11423-015-9399-0.
Tsovaltzi, D., Melis, E., McLaren, B. M., Meyer, A.-K., Dietrich, M., & Goguadze, G. (2010). Learning from erroneous examples: When and how do students benefit from them? In Proceedings of the European conference on technology enhanced learning, LNCS (vol. 6383). Heidelberg: Springer.
Tufford, L., & Newman, P. (2010). Bracketing in qualitative research. Qualitative Social Work, 1(1), 80–96. https://doi.org/10.1177/1473325010368316.
van Gog, T. (2015). Learning from erroneous examples in medical education. Medical Education, 49(2), 142–144. https://doi.org/10.1111/medu.12655.
VanLehn, K., Siler, S., Murray, C., Yamauchi, T., & Baggett, W. B. (2003). Why do only some events cause learning during human tutoring? Cognition and Instruction, 21(3), 209–249. https://doi.org/10.1207/S1532690XCI2103_01
Weiner, B. (2000). Intrapersonal and interpersonal theories of motivation from an attributional perspective. Educational Psychology Review, 12(1), 1–14. https://doi.org/10.1023/A:1009017532121
Yin, R. (2013). Case study research: Design and methods (5th ed.). Thousand Oaks, CA: Sage.
Zhao, B. (2011). Learning from errors: The role of context, emotion, and personality. Journal of Organizational Behavior, 32(3), 435–463. https://doi.org/10.1002/job.696.
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Rong, H., Choi, I., Schmiedt, C. et al. Using failure cases to promote veterinary students’ problem-solving abilities: a qualitative study. Education Tech Research Dev 68, 2121–2146 (2020). https://doi.org/10.1007/s11423-020-09751-y
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DOI: https://doi.org/10.1007/s11423-020-09751-y