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Adaptive instruction and learner interactivity in online learning: a randomized trial

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Abstract

The purpose of this study was to evaluate two online instructional design features, namely adaptation to learner prior knowledge and use of questions to enhance interactivity in online portrayals of physician–patient encounters, in the context of instructing surgical specialists to deliver perioperative tobacco interventions. An online learning module on perioperative tobacco control was developed, in formats incorporating permutations of adaptive/non-adaptive and high/low interactivity (i.e., 2 × 2 factorial design). Participants (a national sample of US anesthesiology residents) were randomly assigned to module format. Primary outcomes included tobacco knowledge, time to complete the module, and self-efficacy in delivering tobacco interventions. One hundred fourteen residents completed the module, which required a median of 60 min (interquartile range 49, 138). The difference in post-module tobacco knowledge score was similar for adaptive and non-adaptive formats [mean difference 0.3 of 10 possible (95% CI − 0.3, 1.0), p = 0.25] but time was shorter for the adaptive format [− 7 min (95% CI − 14, 0), p = 0.01] and knowledge efficiency (knowledge score divided by time) was higher [0.08 units (95% 0.03, 0.14), p = 0.004]. The level of interactivity had no significant effect on self-efficacy [− 0.1 on a 5-point scale (95% CI − 0.3, 0.1), p = 0.50] in delivering tobacco interventions (both outcomes using 5-point scales). Adapting online instruction to learners’ prior knowledge appears to improve the efficiency of learning; adaptation should be implemented when feasible. Adding features that encourage learner interaction in an online course does not necessarily improve learning outcomes.

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References

  • Buckelew, S. M., Adams, S. H., Irwin, C. E., Jr., Gee, S., & Ozer, E. M. (2008). Increasing clinician self-efficacy for screening and counseling adolescents for risky health behaviors: results of an intervention. Journal of Adolescent Health,43(2), 198–200.

    Article  Google Scholar 

  • Cook, D. A., Beckman, T. J., Thomas, K. G., & Thompson, W. G. (2008a). Adapting web-based instruction to residents’ knowledge improves learning efficiency: a randomized controlled trial. Journal of General Internal Medicine,23(7), 985–990.

    Article  Google Scholar 

  • Cook, D. A., Erwin, P. J., & Triola, M. M. (2010a). Computerized virtual patients in health professions education: a systematic review and meta-analysis. Academic Medicine,85(10), 1589–1602.

    Article  Google Scholar 

  • Cook, D. A., Levinson, A. J., Garside, S., Dupras, D. M., Erwin, P. J., et al. (2008b). Internet-based learning in the health professions: a meta-analysis. JAMA,300(10), 1181–1196.

    Article  Google Scholar 

  • Cook, D. A., Levinson, A. J., Garside, S., Dupras, D. M., Erwin, P. J., et al. (2010b). Instructional design variations in internet-based learning for health professions education: a systematic review and meta-analysis. Academic Medicine,85(5), 909–922.

    Article  Google Scholar 

  • Cook, D. A., Thompson, W. G., & Thomas, K. G. (2011). The motivated strategies for learning questionnaire: score validity among medicine residents. Medical Education,45(12), 1230–1240.

    Article  Google Scholar 

  • Cook, D. A., Thompson, W. G., & Thomas, K. G. (2014). Test-enhanced web-based learning: optimizing the number of questions (a randomized crossover trial). Academic Medicine,89(1), 169–175.

    Article  Google Scholar 

  • Courteille, O., Fahlstedt, M., Ho, J., Hedman, L., Fors, U., et al. (2018). Learning through a virtual patient vs. recorded lecture: a comparison of knowledge retention in a trauma case. International Journal of Medical Education,9, 86–92.

    Article  Google Scholar 

  • Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. Advances in Psychology,52, 139–183.

    Article  Google Scholar 

  • Kerfoot, B. P. (2010). Adaptive spaced education improves learning efficiency: a randomized controlled trial. Journal of Urology,183(2), 678–681.

    Article  Google Scholar 

  • Kulik, J. A., & Flitcher, J. D. (2016). Effectiveness of intellegent tutoring systems: a meta-analytic review. Review of Educational Research,86, 42–78.

    Article  Google Scholar 

  • Landsberg, C. R., Astwood, R. S., Van Buskirk, W. L., Townsend, L. N., Steinhauser, N. B., et al. (2012). Review of adaptive trainin system techniques. Military Psychology,24, 96–113.

    Article  Google Scholar 

  • Larsen, D. P., Butler, A. C., & Roediger, H. L. (2008). Test-enhanced learning in medical education. Medical Education,42(10), 959–966.

    Article  Google Scholar 

  • Lau, B. D., Shaffer, D. L., Hobson, D. B., Yenokyan, G., Wang, J., et al. (2017). Effectiveness of two distinct web-based education tools for bedside nurses on medication administration practice for venous thromboembolism prevention: a randomized clinical trial. PLoS ONE,12(8), e0181664.

    Article  Google Scholar 

  • Ozer, E. M., Adams, S. H., Gardner, L. R., Mailloux, D. E., Wibbelsman, C. J., et al. (2004). Provider self-efficacy and the screening of adolescents for risky health behaviors. Journal of Adolescent Health,35(2), 101–107.

    Article  Google Scholar 

  • Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the motivated strategies for learning questionnaire (MSLQ). Educational and Psychological Measurement,53, 801–813.

    Article  Google Scholar 

  • Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning: taking memory tests improves long-term retention. Psychological Science,17(3), 249–255.

    Article  Google Scholar 

  • Rose, E., Claudius, I., Tabatabai, R., Kearl, L., Behar, S., et al. (2016). The flipped classroom in emergency medicine using online videos with interpolated questions. Journal of Emergency Medicine,51(3), 284–291.

    Article  Google Scholar 

  • Schultz, C. R., Benson, J. J., Cook, D. A., & Warner, D. O. (2014). Training for perioperative smoking cessation interventions: a national survey of anesthesiology program directors and residents (research support, non-U.S. Gov’t). Journal of Clinical Anesthesia,26(7), 563–569.

    Article  Google Scholar 

  • TCPGT Tobacco. (2008). A clinical practice guideline for treating tobacco use and dependence: 2008 update. A U.S. public health service report. American Journal of Preventive Medicine,35(2), 158–176.

    Article  Google Scholar 

  • Thompson, G. A., Holyoak, K. J., Morrison, R. G., & Clark, T. K. (2006). Evaluation of an online analogical patient seimulation program. In IEEE symposium on computer-based medical medical systems. Salt Lake City, UT.

  • Warner, D. O. (2006). Perioperative abstinence from cigarettes: physiological and clinical consequences. Anesthesiology,104(2), 356–367.

    Article  Google Scholar 

  • Warner, D. O., & American Society of Anesthesiologists Smoking Cessation Initiative Task Force. (2009). Feasibility of tobacco interventions in anesthesiology practices: a pilot study. Anesthesiology,110(6), 1223–1228.

    Article  Google Scholar 

  • Warner, D. O., Klesges, R. C., Dale, L. C., Offord, K. P., Schroeder, D. R., et al. (2011). Clinician-delivered intervention to faciliate tobacco quitline use by surgical patients. Anesthesiology,114, 847–855.

    Article  Google Scholar 

  • Warner, D. O., Sarr, M. G., Offord, K., & Dale, L. C. (2004a). Anesthesiologists, general surgeons, and tobacco interventions in the perioperative period. Anesthesia and Analgesia,99, 1776–1783.

    Article  Google Scholar 

  • Warner, D. O., Sarr, M. G., Offord, K. P., & Dale, L. C. (2004b). Anesthesiologists, general surgeons, and tobacco interventions in the perioperative period. Anesthesia and Analgesia,99(6), 1766–1773.

    Article  Google Scholar 

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Funding

This work was supported in part by an unrestricted educational grant from Pfizer, Grant No. 44252.

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Correspondence to David O. Warner.

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This study was determined to be exempt from review by the Mayo Clinic Institutional Review Board, #13-009744.

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Warner, D.O., Nolan, M., Garcia-Marcinkiewicz, A. et al. Adaptive instruction and learner interactivity in online learning: a randomized trial. Adv in Health Sci Educ 25, 95–109 (2020). https://doi.org/10.1007/s10459-019-09907-3

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  • DOI: https://doi.org/10.1007/s10459-019-09907-3

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