Skip to main content

Advertisement

Log in

Engagement: what is it good for? The role of learner engagement in healthcare simulation contexts

  • Review
  • Published:
Advances in Health Sciences Education Aims and scope Submit manuscript

Abstract

Learner engagement matters, particularly in simulation-based education. Indeed, it has been argued that instructional design only matters in the service of engaging learners in a simulation encounter. Yet despite its purported importance, our understanding of what engagement is, how to define it, how to measure it, and how to assess it is limited. The current study presents the results of a critical narrative review of literature outside of health sciences education, with the aim of summarizing existing knowledge in these areas and providing a research agenda to guide future scholarship on learner engagement in healthcare simulation. Building on this existing knowledge base, we provide a working definition for engagement and provide an outline for future research programs that will help us better understand how health professions’ learners experience engagement in the simulated setting. With this in hand, additional research questions can be addressed including: how do simulation instructional design features (fidelity, range of task difficulty, feedback, etc.) affect engagement? What is the relationship between engagement and simulation learning outcomes? And how is engagement related to or distinct from related variables like cognitive load, motivation, and self-regulated learning?

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. While fidelity is widely believed to be essential to simulation instructional design, the empirical data supporting the relationship between high fidelity and the subsequent transfer of learning is tenuous at best (Hamstra et al. 2014). As a result, some authors have advocated abandoning the concept of fidelity entirely while others have suggested a complete conceptual overhaul of what we consider it to be (Dieckmann et al. 2007; Cook et al. 2011; Norman et al. 2012; Grierson 2014). It may be, however, that part of the controversy surrounding fidelity stems from our incomplete understanding of the variables theoretically postulated to mediate its effect—variables such as engagement. If we believe that fidelity matters for learning insofar as it increases engagement, but we do not understand what it means for a student to be engaged, do not have a consistent way to measure engagement, and lack clarity in how we approach engagement, then it should not be surprising that we have failed to demonstrate a consistent relationship between fidelity and learning.

References

  • Ainley, M. (2006). Connecting with learning: Motivation, affect and cognition in interest processes. Educational Psychology Review, 18(4), 391–405.

    Article  Google Scholar 

  • Artino, A. R., & Durning, S. J. (2012). ‘Media will never influence learning’: But will simulation? Medical Education, 46(7), 630–632.

    Article  Google Scholar 

  • Azevedo, R. (2015). Defining and measuring engagement and learning in science: Conceptual, theoretical, methodological, and analytical issues. Educational Psychologist, 50(1), 84–94.

    Article  Google Scholar 

  • Bailey, C., Madden, A., Alfes, K., & Fletcher, L. (2017). The meaning, antecedents and outcomes of employee engagement: A narrative synthesis. International Journal of Management Reviews, 19(1), 31–53. https://doi.org/10.1111/ijmr.12077.

    Article  Google Scholar 

  • Bakker, A. B., Schaufeli, W. B., Leiter, M. P., & Taris, T. W. (2008). Work engagement: An emerging concept in occupational health psychology. Work and Stress, 22(3), 187–200. https://doi.org/10.1080/02678370802393649.

    Article  Google Scholar 

  • Barnett, S. G., Gallimore, C. E., Pitterle, M., & Morrill, J. (2016). Impact of a paper vs virtual simulated patient case on student-perceived confidence and engagement. American Journal of Pharmaceutical Education, 80(1), 16. https://doi.org/10.5688/ajpe80116.

    Article  Google Scholar 

  • Baumeister, R. F., & Leary, M. R. (1997). Writing narrative literature reviews. Review of General Psychology, 1(3), 311.

    Article  Google Scholar 

  • Bergin, Rolf, Youngblood, Patricia, Ayers, Mary K., Boberg, Jonas, Bolander, Klara, Courteille, Olivier, et al. (2003). Interactive simulated patient: Experiences with collaborative e-learning in medicine. Journal of Educational Computing Research, 29(3), 387–400. https://doi.org/10.2190/UT9B-F3E7-3P75-HPK5.

    Article  Google Scholar 

  • Boekaerts, M. (2016). Engagement as an inherent aspect of the learning process. Learning and Instruction, 43, 76–83.

    Article  Google Scholar 

  • Brunken, R., Plass, J. L., & Leutner, D. (2003). Direct measurement of cognitive load in multimedia learning. Educational Psychologist, 38(1), 53–61.

    Article  Google Scholar 

  • Bryson, C., & Hand, L. (2007). The role of engagement in inspiring teaching and learning. Innovations in Education and Teaching International, 44(4), 349–362.

    Article  Google Scholar 

  • Chapman, E. (2003). Alternative approaches to assessing student engagement rates. Practical Assessment, 8(13), 1–7.

    Google Scholar 

  • Charmaz, K. (2014). Constructing grounded theory. Thousand Oaks: Sage.

    Google Scholar 

  • Coates, H. (2007). A model of online and general campus-based student engagement. Assessment & Evaluation in Higher Education, 32(2), 121–141.

    Article  Google Scholar 

  • Cook, D. A., & Artino, A. R. (2016). Motivation to learn: An overview of contemporary theories. Medical Education, 50(10), 997–1014.

    Article  Google Scholar 

  • Cook, D. A., Brydges, R., Hamstra, S. J., Zendejas, B., Szostek, J. H., Wang, A. T., et al. (2012). Comparative effectiveness of technology-enhanced simulation versus other instructional methods: A systematic review and meta- analysis. Simulation in Healthcare, 7(5), 308–320.

    Article  Google Scholar 

  • Cook, D. A., Hatala, R., Brydges, R., Zendejas, B., Szostek, J. H., Wang, A. T., et al. (2011). Technology-enhanced simulation for health professions education: A systematic review and meta-analysis. JAMA, 306(9), 978–988.

    Article  Google Scholar 

  • Courteille, O., Anna, J., & Lars-Olof, L. (2014). Interpersonal behaviors and socioemotional interaction of medical students in a virtual clinical encounter. BMC Medical Education, 14(1), 64. https://doi.org/10.1186/1472-6920-14-64.

    Article  Google Scholar 

  • Csikszentmihalyi, M., Abuhamdeh, S., & Nakamura, J. (2005). Flow. In A. Elliot & C. Dweck (Eds.), Handbook of competence and motivation (pp. 598–623). New York: Guilford Publications.

    Google Scholar 

  • DeBacker, T. K., & Crowson, H. M. (2006). Influences on cognitive engagement: Epistemological beliefs and need for closure. British Journal of Educational Psychology, 76(3), 535–551.

    Article  Google Scholar 

  • Demerouti, E., & Bakker, A. B. (2008). The Oldenburg Burnout inventory: A good alternative to measure burnout and engagement. In J. R. Halbesleben (Ed.), Handbook of stress and burnout in health care (pp. 65–78). New York: Nova Science Publishers.

    Google Scholar 

  • Demerouti, E., Bakker, A., Nachreiner, F., & Ebbinghaus, M. (2002). From mental strain to burnout. European Journal of Work and Organizational Psychology, 11(4), 423–441.

    Article  Google Scholar 

  • Dieckmann, P., Gaba, D., & Rall, M. (2007). Deepening the theoretical foundations of patient simulation as social practice. Simulation in Healthcare, 2(3), 183–193.

    Article  Google Scholar 

  • Dixon-Woods, M., Bonas, S., Booth, A., Jones, D., Miller, T., Sutton, A., et al. (2006a). How can systematic reviews incorporate qualitative research? A critical perspective. Qualitative Research, 6(1), 27–44. https://doi.org/10.1177/1468794106058867.

    Article  Google Scholar 

  • Dixon-Woods, M., Cavers, D., Agarwal, S., Annandale, E., Arthur, A., Harvey, J., et al. (2006b). Conducting a critical interpretive synthesis of the literature on access to healthcare by vulnerable groups. BMC Medical Research Methodology, 6, 1–13. https://doi.org/10.1186/1471-2288-6-35.

    Article  Google Scholar 

  • Eccles, J. S. (2016). Engagement: Where to next? Learning and Instruction, 43, 71–75.

    Article  Google Scholar 

  • Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109.

    Article  Google Scholar 

  • Fredricks, J. A., Filsecker, M., & Lawson, M. A. (2016). Student engagement, context, and adjustment: Addressing definitional, measurement, and methodological issues. Learning and Instruction, 43, 1–4.

    Article  Google Scholar 

  • Fulmer, S. M., D’Mello, S. K., Strain, A., & Graesser, A. C. (2015). Interest-based text preference moderates the effect of text difficulty on engagement and learning. Contemporary Educational Psychology, 41, 98–110.

    Article  Google Scholar 

  • Gardner, Aimee K., Jabbour, Ibrahim J., Williams, Brian H., & Huerta, Sergio. (2016). Different goals, different pathways: The role of metacognition and task engagement in surgical skill acquisition. Journal of Surgical Education, 73(1), 61–65. https://doi.org/10.1016/j.jsurg.2015.08.007.

    Article  Google Scholar 

  • Grant, M. J., & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information and Libraries Journal, 26(2), 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x.

    Article  Google Scholar 

  • Gresalfi, M., & Barab, S. (2011). Learning for a reason: Supporting forms of engagement by designing tasks and orchestrating environments. Theory into Practice, 50(4), 300–310.

    Article  Google Scholar 

  • Grierson, L. E. (2014). Information processing, specificity of practice, and the transfer of learning: Considerations for reconsidering fidelity. Advances in Health Sciences Education, 19(2), 281–289.

    Article  Google Scholar 

  • Haji, F. A., Cheung, J. J., Woods, N., Regehr, G., Ribaupierre, S., & Dubrowski, A. (2016). Thrive or overload? The effect of task complexity on novices’ simulation-based learning. Medical Education, 50(9), 955–968.

    Article  Google Scholar 

  • Hamstra, S. J., Brydges, R., Hatala, R., Zendejas, B., & Cook, D. A. (2014). Reconsidering fidelity in simulation-based training. Academic Medicine, 89(3), 387–392.

    Article  Google Scholar 

  • Issenberg, S. B., & Scalese, R. J. (2008). Simulation in health care education. Perspectives in Biology and Medicine, 51(1), 31–46.

    Article  Google Scholar 

  • Jang, H., Kim, E. J., & Reeve, J. (2016). Why students become more engaged or more disengaged during the semester: A self-determination theory dual-process model. Learning and Instruction, 43, 27–38.

    Article  Google Scholar 

  • Järvelä, S., Järvenoja, H., Malmberg, J., Isohätälä, J., & Sobocinski, M. (2016). How do types of interaction and phases of self-regulated learning set a stage for collaborative engagement? Learning and Instruction, 43, 39–51.

    Article  Google Scholar 

  • Jesson, J., & Lacey, F. (2006). How to do (or not to do) a critical literature review. Pharmacy, education, 6.

    Google Scholar 

  • Jorm, C., Roberts, C., Lim, R., Roper, J., Skinner, C., Robertson, J., et al. (2016). A large-scale mass casualty simulation to develop the non-technical skills medical students require for collaborative teamwork. BMC Medical Education, 16(1), 83.

    Article  Google Scholar 

  • Kahu, E. R. (2013). Framing student engagement in higher education. Studies in Higher Education, 38(5), 758–773.

    Article  Google Scholar 

  • Kneebone, R. (2005). Evaluating clinical simulations for learning procedural skills: A theory-based approach. Academic Medicine, 80(6), 549–553.

    Article  Google Scholar 

  • Koens, F., Mann, K. V., Custers, E. J., & Ten Cate, O. T. (2005). Analysing the concept of context in medical education. Medical Education, 39(12), 1243–1249.

    Article  Google Scholar 

  • La Rochelle, J. S., Durning, S. J., Pangaro, L. N., Artino, A. R., van der Vleuten, C. P., & Schuwirth, L. (2011). Authenticity of instruction and student performance: A prospective randomised trial. Medical Education, 45(8), 807–817.

    Article  Google Scholar 

  • Macey, W. H., & Schneider, B. (2008). The meaning of employee engagement. Industrial and Organizational Psychology, 1(01), 3–30. https://doi.org/10.1111/j.1754-9434.2007.0002.x.

    Article  Google Scholar 

  • Maslach, C., Jackson, S. E., & Leiter, M. P. (1996). MBI: Maslach burnout inventory. Sunnyvale (CA): CPP, Incorporated.

    Google Scholar 

  • Maslach, C., & Leiter, M. P. (1997). The truth about burnout: How organizations cause personal stress and what to do about it. San Francisco, CA: Jossey-Bass.

    Google Scholar 

  • McCoy, Lise, Pettit, Robin K., Lewis, Joy H., Aaron Allgood, J., Bay, Curt, & Schwartz, Frederic N. (2016). Evaluating medical student engagement during virtual patient simulations: A sequential, mixed methods study. BMC Medical Education, 16(1), 20. https://doi.org/10.1186/s12909-016-0530-7.

    Article  Google Scholar 

  • Moreno, R. (2010). Cognitive load theory: More food for thought. Instructional Science, 38(2), 135–141.

    Article  Google Scholar 

  • Ng, S. L., Kinsella, E. A., Friesen, F., & Hodges, B. (2015). Reclaiming a theoretical orientation to reflection in medical education research: A critical narrative review. Medical Education, 49(5), 461–475.

    Article  Google Scholar 

  • Norman, G., Dore, K., & Grierson, L. (2012). The minimal relationship between simulation fidelity and transfer of learning. Medical Education, 46(7), 636–647.

    Article  Google Scholar 

  • Pike, G. R., Kuh, G. D., & McCormick, A. C. (2011). An investigation of the contingent relationships between learning community participation and student engagement. Research in Higher Education, 52(3), 300–322.

    Article  Google Scholar 

  • Pizzimenti, M. A., & Axelson, R. D. (2015). Assessing student engagement and self-regulated learning in a medical gross anatomy course. Anatomical Sciences Education, 8(2), 104–110.

    Article  Google Scholar 

  • Power, Tamara, Virdun, Claudia, White, Haidee, Hayes, Carolyn, Parker, Nicola, Kelly, Michelle, et al. (2015). Plastic with personality: Increasing student engagement with manikins. Nurse Education Today, 38, 126–131. https://doi.org/10.1016/j.nedt.2015.12.001.

    Article  Google Scholar 

  • Reeve, J., & Tseng, C. M. (2011). Agency as a fourth aspect of students’ engagement during learning activities. Contemporary Educational Psychology, 36(4), 257–267.

    Article  Google Scholar 

  • Rudolph, J. W., Simon, R., & Raemer, D. B. (2007). Which reality matters? Questions on the path to high engagement in healthcare simulation. Simulation in Healthcare, 2(3), 161–163.

    Article  Google Scholar 

  • Saks, A. M. (2006). Antecedents and consequences of employee engagement. Journal of Managerial Psychology, 21(7), 600–619.

    Article  Google Scholar 

  • Salmela-Aro, K., & Upadaya, K. (2012). The schoolwork engagement inventory. European Journal of Psychological Assessment, 28(1), 60–67.

    Article  Google Scholar 

  • Schaufeli, W. B., Martinez, I. M., Pinto, A. M., Salanova, M., & Bakker, A. B. (2002a). Burnout and engagement in university students: A cross-national study. Journal of Cross-Cultural Psychology, 33(5), 464–481.

    Article  Google Scholar 

  • Schaufeli, W. B., Salanova, M., González-Romá, V., & Bakker, A. B. (2002b). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness Studies, 3(1), 71–92.

    Article  Google Scholar 

  • Schlechty, P. C. (2011). Engaging students: The next level of working on the work. Hoboken: Wiley.

    Google Scholar 

  • Schweppe, J., & Rummer, R. (2014). Attention, working memory, and long-term memory in multimedia learning: An integrated perspective based on process models of working memory. Educational Psychology Review, 26(2), 285–306.

    Article  Google Scholar 

  • Seppälä, P., Mauno, S., Feldt, T., Hakanen, J., Kinnunen, U., Tolvanen, A., et al. (2009). The construct validity of the utrecht work engagement scale: Multisample and longitudinal evidence. Journal of Happiness Studies, 10(4), 459–481. https://doi.org/10.1007/s10902-008-9100-y.

    Article  Google Scholar 

  • Shernoff, D. J., Kelly, S., Tonks, S. M., Anderson, B., Cavanagh, R. F., Sinha, S., et al. (2016). Student engagement as a function of environmental complexity in high school classrooms. Learning and Instruction, 43, 52–60.

    Article  Google Scholar 

  • Shuck, B., & Wollard, K. (2010). Employee engagement and HRD: A seminal review of the foundations. Human Resource Development Review, 9(1), 89–110.

    Article  Google Scholar 

  • Sokolowski, R. (2000). Introduction to phenomenology. Cambridge: Cambridge University Press.

    Google Scholar 

  • Wang, M. T., Fredricks, J. A., Ye, F., Hofkens, T. L., & Linn, J. S. (2016). The math and science engagement scales: Scale development, validation, and psychometric properties. Learning and Instruction, 43, 16–26.

    Article  Google Scholar 

  • Zepke, N. (2015). Student engagement research: Thinking beyond the mainstream. Higher Education Research & Development, 34(6), 1311–1323.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jessica Padgett.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Padgett, J., Cristancho, S., Lingard, L. et al. Engagement: what is it good for? The role of learner engagement in healthcare simulation contexts. Adv in Health Sci Educ 24, 811–825 (2019). https://doi.org/10.1007/s10459-018-9865-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10459-018-9865-7

Keywords

Navigation