Air Force Manual. (2003). Guidebook for Air Force Instructors (36–2236). www.angtec.ang.af.mil/Portals/10/Courses%20resources/afman36-2236.pdf?ver=2018–10-02–084122-.Google Scholar

Allen, L. K., Mills, C., Jacovina, M. E., Crossley, S., D’Mello, S., & McNamara, D. S. (2016). Investigating boredom and engagement during writing using multiple sources of information: The essay, the writer, and keystrokes. Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, USA, 114–123. https://doi.org/10.1145/2883851.2883939.Google Scholar

Arai, S. M. (1997). Empowerment: From the theoretical to the personal. Journal of Leisurability, 24(1), 3–11.Google Scholar

Arnone, M. P. (2003). Using instructional design strategies to foster curiosity (ED479842). ERIC. https://eric.ed.gov/?q=ED479842&id=ED479842.Google Scholar

Bathalon, S., Dorion, D., Darveau, S., & Martin, M. (2005). Cognitive skills analysis, kinesiology, and mental imagery in the acquisition of surgical skills. Journal of Otolaryngology, 34(5), 328–332. https://doi.org/10.2310/7070.2005.34506.CrossRefGoogle ScholarPubMed

Benner, P. (1984). From novice to expert: Excellence and power in clinical nursing practice. The American Journal of Nursing, 84(12), 1480. https://doi.org/10.1097/00000446-198412000-00025.CrossRefGoogle Scholar

Bloom, B. S. (ed.), Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook 1: Cognitive domain. Longman.Google Scholar

Boud, D., & Walker, D. (1998). Promoting reflection in professional courses: The challenge of context. Studies in Higher Education, 23(2), 191–206. https://doi.org/10.1080/03075079812331380384.Google Scholar

Brown, B. L. (1997). New learning strategies for generation X (ED411414). ERIC. http://files.eric.ed.gov/fulltext/ED411414.pdf.Google Scholar

Brown, E., & Cairns, P. (2004). A grounded investigation of game immersion. Proceedings of the International Conference on Human Factors in Computing Systems, Austria, 1297–1300. https://doi.org/10.1145/985921.986048.CrossRefGoogle Scholar

Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32–42. https://doi.org/10.3102/0013189X018001032.CrossRefGoogle Scholar

Bulger, M. E., Mayer, R. E., Almeroth, K. C., & Blau, S. D. (2008). Measuring learner engagement in computer-equipped college classrooms. Journal of Educational Multimedia and Hypermedia, 17(2), 129–143.Google Scholar

Burroughs, W. A. (1984). Visual simulation training of baseball batters. International Journal of Sport Psychology, 15(2), 117–126.Google Scholar

Butler, F. K. (2017). TCCC updates: Two decades of saving lives on the battlefield: Tactical combat casualty care turns 20. Journal of Special Operations Medicine: A Peer Reviewed Journal for SOF Medical Professionals, 17(2), 166–172.CrossRefGoogle ScholarPubMed

Carroll, J. (2014). Creating minimalist instruction. International Journal of Designs for Learning, 5(2), 56–65. https://doi.org/10.14434/ijdl.v5i2.12887.Google Scholar

Chase, W. G., & Simon, H. A. (1973a). Perception in chess. Cognitive Psychology, 4(1), 55–81. https://doi.org/10.1016/0010-0285(73)90004-2.Google Scholar

Chase, W. G., & Simon, H. A. (1973b). The mind’s eye in chess. Proceedings of the Eighth Annual Carnegie Symposium on Cognition, USA, 215–281. https://doi.org/10.1016/B978-0-12-170150-5.50011-1.Google Scholar

Cheng, M.-T., She, H.-C., & Annetta, L. A. (2015). Game immersion experience: Its hierarchical structure and impact on game-based science learning.Journal of Computer Assisted Learning, 31(3), 232–253. https://doi.org/10.1111/jcal.12066.CrossRefGoogle Scholar

Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13(2), 145–182. https://doi.org/10.1016/0364-0213(89)90002-5.Google Scholar

Chi, M. T. H., De Leeuw, N., Chiu, M.-H., & LaVancher, C. (1994). Eliciting self-explanations improves understanding. Cognitive Science, 18(3), 439–477. https://doi.org/10.1016/0364-0213(94)90016-7.Google Scholar

Cohen, E. R., Barsuk, J. H., Moazed, F., Caprio, T., Didwania, A., McGaghie, W. C., & Wayne, D. B. (2013). Making July safer: Simulation-based mastery learning during intern boot camp. Academic Medicine, 88(2), 233–239. https://doi.org/10.1097/acm.0b013e31827bfc0a.Google Scholar

Cohen, M. S., Thompson, B. B., Adelman, L., Bresnick, T. A., Shastri, L., & Riedel, S. L. (2000). Training critical thinking for the battlefield (Report No. ADA320892). Cognitive Technologies. https://apps.dtic.mil/sti/pdfs/ADA320892.pdf.Google Scholar

Collins, J. W., & O’Brien, N. P. (eds.) (2003). The Greenwood dictionary of education. Greenwood Press.Google Scholar

Cook, T. M., Green, C., McGrath, J., & Srivastava, R. (2007). Evaluation of four airway training manikins as patient simulators for the insertion of single use laryngeal mask airways. Anaesthesia, 62(7), 713–718. https://doi.org/10.1111/j.1365-2044.2007.05068.x.CrossRefGoogle ScholarPubMed

Crandall, B., & Getchell-Reiter, K. (1993). Critical decision method: A technique for eliciting concrete assessment indicators from the intuition of NICU nurses. Advances in Nursing Science, 16(1), 42–51. https://doi.org/10.1097/00012272-199309000-00006.CrossRefGoogle Scholar

Crandall, B., Klein, G., & Hoffman, R. R. (2006). Working minds: A practitioner’s guide to cognitive task analysis. MIT Press.Google Scholar

Csikszentmihalyi, M., Abuhamdeh, S., & Nakamura, J. (2014). Flow. In Flow and the foundations of positive psychology (pp. 227–238). Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9088-8_15.CrossRefGoogle Scholar

D’Mello, S., Dieterle, E., & Duckworth, A. (2017). Advanced, analytic, automated (AAA) measurement of engagement during learning. Educational Psychologist, 52(2), 104–123. https://doi.org/10.1080/00461520.2017.1281747.Google Scholar

Devereux, L., & Wilson, K. (2008). Scaffolding literacies across the Bachelor of Education program: An argument for a course‐wide approach. Asia‐Pacific Journal of Teacher Education, 36(2), 121–134. https://doi.org/10.1080/13598660801971633.Google Scholar

Dewey, J. (1933). How we think. Prometheus Books.Google Scholar

DiBello, L. (December, 2018). Accelerating Expertise; we really outdid ourselves this time. [Post]. LinkedIn. www.linkedin.com/pulse/accelerating-expertise-we-really-outdid-ourselves-time-lia-dibello/.Google Scholar

Dirkx, J. M. (2001). The power of feelings: Emotion, imagination, and the construction of meaning in adult learning. New Directions for Adult and Continuing Education, 2001(89), 63–72. https://doi.org/10.1002/ace.9.CrossRefGoogle Scholar

Dreyfus, S. E., & Dreyfus, H. L. (1980). A five-stage model of the mental activities involved in directed skill acquisition (Report No. ADA084551). California Univ. Berkeley Operations Research Center. https://apps.dtic.mil/sti/pdfs/ADA084551.pdf.Google Scholar

Driskell, J. E., Copper, C., & Moran, A. (1994). Does mental practice enhance performance? Journal of Applied Psychology, 79(4), 481. https://doi.org/10.1037/0021-9010.79.4.481.CrossRefGoogle Scholar

Driver, R., Asojo, R., Leach, J., Mortimer, E., & Scott, P. (1994). Constructing scientific knowledge in the classroom. Educational Researcher, 23(7), 5–12. https://doi.org/10.3102/0013189X023007005.CrossRefGoogle Scholar

Dror, I. (2011). A novel approach to minimize error in the medical domain: Cognitive neuroscientific insights into training. Medical Teacher, 33(1), 34–38. https://doi.org/10.3109/0142159X.2011.535047.Google Scholar

Dweck, C. S., & Leggett, E. L. (1988). A social-cognitive approach to motivation and personality. Psychological Review, 95(2), 256–273. https://doi.org/10.1037/0033-295X.95.2.256.CrossRefGoogle Scholar

Earley, C., Northcraft, G., Lee, C., & Lituchy, T. (1990). Impact of process and outcome feedback on the relation of goal setting to task performance. Academy of Management Journal, 33(1), 87–105. https://doi.org/10.5465/256353.CrossRefGoogle Scholar

Einhorn, H. J. (1974). Expert judgment: Some necessary conditions and an example. Journal of Applied Psychology, 59(5), 562.CrossRefGoogle Scholar

Einhorn, H. J., & Hogarth, R. M. (1981). Behavioral decision theory: Processes of judgement and choice. Annual Review of Psychology, 32(1), 53–88. https://doi.org/10.1037/h0037164.CrossRefGoogle Scholar

Engelbrecht, L., Terblanche, E., & Welman, K. E. (2016). Video-based perceptual training as a method to improve reactive agility performance in rugby union players. International Journal of Sports Science & Coaching, 11(6), 799–809. https://doi.org/10.1177/1747954116676106.Google Scholar

Eppler, M. A., & Harju, B. J. (1997). Achievement motivation goals in relation to academic performance in traditional and non-traditional college students. Research in Higher Education, 38, 557–573. https://doi.org/10.1023/A:1024944429347.Google Scholar

Ericsson, K. A. (2004). Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Academic Medicine, 79(10), 70–81. https://doi.org/10.1097/00001888-200410001-00022.Google Scholar

Ericsson, K.A., Charness, N., Feltovich, P. J., & Hoffman, R. R. (2006). The Cambridge handbook of expertise and expert performance. Cambridge University Press.Google Scholar

Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363–406. https://doi.org/10.1037/0033-295X.100.3.363.CrossRefGoogle Scholar

Esteban-Millat, I., Martínez-López, F. J., Huertas-García, R., Meseguer, A., & Rodríguez-Ardura, I. (2014). Modelling students’ flow experiences in an online learning environment. Computers and Education, 71, 111–123. https://doi.org/10.1016/j.compedu.2013.09.012.CrossRefGoogle Scholar

Fadde, P. J. (2006). Interactive video training of perceptual decision-making in the sport of baseball. Technology, Instruction, Cognition and Learning, 4(3), 265–285.Google Scholar

Fadde, P. J. (2007). Seeing is believing: Video mock-ups to evaluate and demonstrate multimedia designs. TechTrends, 51(4), 32–38. https://doi.org/10.1007/s11528-007-0053-5.Google Scholar

Fadde, P. J. (2009). Instructional design for advanced learners: Training recognition skills to hasten expertise. Educational Technology Research and Development, 57(3), 359–376. https://doi.org/10.1007/s11423-007-9046-5.Google Scholar

Fadde, P. J., & Klein, G. A. (2010). Deliberate performance: Accelerating expertise in natural settings. Performance Improvement, 49(9), 5–14. https://doi.org/10.1002/pfi.20175.Google Scholar

Farrow, D., Chivers, P., Hardingham, C., & Sacshse, S. (1998). The effect of video-based perceptual training on the tennis return of serve. International Journal of Sport Psychology, 29(3), 231–242.Google Scholar

Fiore, S. M., Cuevas, H. M., & Oser, R. L. (2003). A picture is worth a thousand connections: The facilitative effects of diagrams on mental model development and task performance. Computers in Human Behavior, 19(2), 185–199. https://doi.org/10.1016/S0747-5632(02)00054-7.Google Scholar

Fiore, S. M., Hoffman, R. R., & Salas, E. (2008). Learning and performance across disciplines: An epilogue for moving multidisciplinary research toward an interdisciplinary science of expertise. Military Psychology, 20 (sup1), S155–S170. https://doi.org/10.1080/08995600701804939.CrossRefGoogle Scholar

Geis, G. L., Wheeler, D. S., Bunger, A., Militello, L. G., Taylor, R. G., Bauer, J. P., Byczkowski, T. L., Kerry, B. T., & Patterson, M. D. (2018). A validation argument for a simulation-based training course centered on assessment, recognition, and early management of pediatric sepsis. Simulation in Healthcare, 13(1), 16–26. https://doi.org/10.1097/SIH.0000000000000271.Google Scholar

Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human-computer interaction. The Journal of Psychology, 128(4), 381–391. https://doi.org/10.1080/00223980.1994.9712742.Google Scholar

Gibson, E. J. (1969). Principles of perceptual learning and development. Prentice-Hall.Google Scholar

Gibson, E. J. (2000). Perceptual learning in development: Some basic concepts. Ecological Psychology, 12(4), 295–302. https://doi.org/10.1207/S15326969ECO1204_04.Google Scholar

Gibson, J. J. (1958). Visually controlled locomotion and visual orientation in animals. British Journal of Psychology, 49(3), 182–194. https://doi.org/10.1111/j.2044-8295.1958.tb00656.x.CrossRefGoogle ScholarPubMed

Goldberg, L. R. (1968). Simple models or simple processes? Some research on clinical judgments. American Psychologist, 23(7), 483–496. https://doi.org/10.1037/h0026206.Google Scholar

Goldstone, R. L., & Barsalou, L. W. (1998). Reuniting perception and conception. Cognition, 65(2–3), 231–262. https://doi.org/10.1016/S0010-0277(97)00047-4.CrossRefGoogle ScholarPubMed

Gorini, A., Capideville, C. S., De Leo, G., Mantovani, F., & Riva, G. (2011). The role of immersion and narrative in mediated presence: The virtual hospital experience. Cyberpsychology, Behavior, and Social Networking, 14(3), 99–105. https://doi.org/10.1089/cyber.2010.0100.CrossRefGoogle ScholarPubMed

Gorman, J., Cooke, N., & Amazeen, P. (2010). Training adaptive teams. Human Factors, 52, 295–307. https://doi.org/10.1177/0018720810371689.CrossRefGoogle ScholarPubMed

Grabinger, R. S. (1996). Rich environments for active learning. In Jonassen, D. H. (ed.), Handbook of research for educational communications and technology (pp. 665–692). Macmillan.Google Scholar

Halverson, L. R., & Graham, C. R. (2019). Learner engagement in blended learning environments: A conceptual framework. Online Learning, 23(2), 145–178. http://dx.doi.org/10.24059/olj.v23i2.1481.Google Scholar

Hatton, N., & Smith, D. (1995). Reflection in teacher education: Towards definition and implementation. Teaching and Teacher Education, 11(1), 33–49. https://doi.org/10.1016/0742-051X(94)00012-U.Google Scholar

Hays, R. T., & Singer, M. J. (2012). Simulation fidelity in training system design: Bridging the gap between reality and training. Springer. https://doi.org/10.1007/978-1-4612-3564-4.Google Scholar

Healy, A. F. (2007). Transfer: Specificity and generality. In Roediger, H. L., Dudai, Y., & Fitzpatrick, S. M. (eds.), Science of memory: Concepts (pp. 271–275). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195310443.001.0001Google Scholar

Heeter, C. (1992). Being there: The subjective experience of presence. Presence Teleoperators and Virtual Environments, 1(2), 262–271. https://doi.org/10.1162/pres.1992.1.2.262.Google Scholar

Hernandez, O. (2021). Designing simulation-based active learning activities using augmented reality and sets of offline games. [Unpublished doctoral dissertation].The Ohio State University.Google Scholar

Hoffman, P. J., Slovic, P., & Rorer, L. G. (1968). An analysis-of-variance model for the assessment of configural cue utilization in clinical judgment. Psychological Bulletin, 69(5), 338–349. https://doi.org/10.1037/h0025665.CrossRefGoogle ScholarPubMed

Hoffman, R., Feltovich, P., Fiore, S., Klein, G., Missildine, W., & DiBello, L. (2010). Accelerated proficiency and facilitated retention: Recommendations based on an integration of research and findings from a working meeting (Report No. ADA536308). Florida Institute for Human and Machine Cognition. https://apps.dtic.mil/sti/pdfs/ADA536308.pdf.Google Scholar

Hoffman, R. R., & Militello, L. G. (2008). Perspectives on cognitive task analysis: Historical origins and modern communities of practice. Psychology Press.Google Scholar

Hoffman, R. R., Ward, P., Feltovich, P. J., DiBello, L., Fiore, S. M., & Andrews, D. H. (2013). Accelerated expertise: Training for high proficiency in a complex world. Psychology Press.Google Scholar

Hogarth, R. M. (2001). Educating intuition. University of Chicago Press. https://doi.org/10.1080/00223980.1994.9712742.Google Scholar

Hu, Y.-Y., Peyre, S. E., Arriaga, A. F., Roth, E. M., Corso, K. A., & Greenberg, C. C. (2012). War stories: A qualitative analysis of narrative teaching strategies in the operating room. The American Journal of Surgery, 203(1), 63–68. https://doi.org/10.1016/j.amjsurg.2011.08.005.Google Scholar

Hunt, E. A., Duval-Arnould, J. M., Nelson-McMillan, K. L., Bradshaw, J. H., Diener-West, M., Perretta, J. S., & Shilkofski, N. A. (2014). Pediatric resident resuscitation skills improve after “Rapid Cycle Deliberate Practice” training. Resuscitation, 85(7), 945–951. https://doi.org/10.1016/j.resuscitation.2014.02.025.Google Scholar

Isen, A. M. (2000). Positive affect and decision making. In Lewis, M., & Haviland, J. M. (eds.), Handbook of emotions (pp. 261–277). Guilford Press.Google Scholar

Jackson, K. M., & Cook, T. M. (2007). Evaluation of four airway training manikins as patient simulators for the insertion of eight types of supraglottic airway devices. Anaesthesia, 62(4), 388–393. https://doi.org/10.1111/j.1365-2044.2007.04983.x.Google Scholar

Jean, L., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press.Google Scholar

Jensen, R., Nolan, M., Harmon, N., & Caldwell, G. (2006). Visually based timeline debrief toolset for team training AAR (Report No. ADA457460). Stottler Henke Associates. https://apps.dtic.mil/sti/pdfs/ADA457460.pdf.Google Scholar

Kahneman, D. (2011). Thinking fast and slow. Farrar, Straus and Giroux.Google Scholar

Kahneman, D., & Klein, G. (2009). Conditions for intuitive expertise: A failure to disagree. American Psychologist, 64(6), 515–526. https://doi.org/10.1037/a0016755.Google Scholar

Kahneman, D., & Tversky, A. (1982). The simulation heuristic. In Kahneman, D., Slovic, P., & Tversky, A. (eds.),Judgment under uncertainty: Heuristics and biases (pp. 201–208). Cambridge University Press.Google Scholar

Keith, N., & Frese, M. (2008). Effectiveness of error management training: A meta-analysis. Journal of Applied Psychology, 93(1), 59–69. https://doi.org/10.1037/0021-9010.93.1.59.Google Scholar

Kellman, P. J. (2002). Perceptual learning. In Pashler, H., & Gallistel, R. (eds.),Stevens’ handbook of experimental psychology: Learning, motivation, and emotion (pp. 259–299). Wiley & Sons. https://doi.org/10.1002/0471214426.pas0307.Google Scholar

Kellman, P. J., & Garrigan, P. (2009). Perceptual learning and human expertise. Physics of Life Reviews, 6(2), 53–84. https://doi.org/10.1080/0142159X.2018.1484897.Google Scholar

Kellman, P. J., & Krasne, S. (2018). Accelerating expertise: Perceptual and adaptive learning technology in medical learning. Medical Teacher, 40(8), 797–802. https://doi.org/10.1080/0142159X.2018.1484897.Google Scholar

Kidman, L., Thorpe, R., Jones, R. L., & Lewis, C. (2001). Developing decision makers: An empowerment approach to coaching. Innovative Print Communications.Google Scholar

Kim, J. M., Hill Jr, R. W., Durlach, P. J., Lane, H. C., Forbell, E., Core, M., Marsella, S., Pynadath, D., & Hart, J. (2009). BiLAT: A game-based environment for practicing negotiation in a cultural context. International Journal of Artificial Intelligence in Education, 19(3), 289–308.Google Scholar

Klasen, J. M., & Lingard, L. A. (2019). Allowing failure for educational purposes in postgraduate clinical training: a narrative review. Medical Teacher, 41(11), 1263–1269. https://doi.org/10.1080/0142159X.2019.1630728.Google Scholar

Klein, D. E., Klein, H. A., & Klein, G. (2000). Macrocognition: Linking cognitive psychology and cognitive ergonomics. Proceedings of the Fifth International Conference on Human Interactions with Complex Systems, 173–177.Google Scholar

Klein, G. (1998). Sources of power: How people make decisions. MIT Press.Google Scholar

Klein, G., & Borders, J. (2016). The ShadowBox approach to cognitive skills training: An empirical evaluation. Journal of Cognitive Engineering and Decision Making, 10(3), 268–280. https://doi.org/10.1177/1555343416636515.CrossRefGoogle Scholar

Klein, G., Calderwood, R., & Clinton-Cirocco, A. (1988). Rapid decision making on the fire ground (Report No. ADA199492). Klein Associates. https://apps.dtic.mil/sti/pdfs/ADA199492.pdf.Google Scholar

Klein, G., Calderwood, R., & Clinton-Cirocco, A. (2010). Rapid decision making on the fire ground: The original study plus a postscript. Journal of Cognitive Engineering and Decision Making, 4(3), 186–209. https://doi.org/10.1518/155534310X12844000801203.CrossRefGoogle Scholar

Klein, G., & Crandall, B. W. (1995). The role of mental simulation in problem solving and decision making. In Hancock, P. A., Flach, J. M., Caird, J., & Vicente, K. J. (eds.), Local applications of the ecological approach to human-machine systems (pp. 324–358). CRC Press.Google Scholar

Klein, G., & Hoffman, R. R. (2008). Macrocognition, mental models, and cognitive task analysis methodology. In Schraagen, J. M., Millitello, L. G., Ormerod, T., & Lipshitz, R. (eds.), Naturalistic decision making and macrocognition (pp. 57–80). Ashgate.Google Scholar

Klein, G., Moon, B., & Hoffman, R. R. (2006a). Making sense of sensemaking 1: Alternative perspectives. IEEE Intelligent Systems, 21(1), 70–73. https://doi.org/10.1109/MIS.2006.75.Google Scholar

Klein, G., Moon, B., & Hoffman, R. R. (2006b). Making sense of sensemaking 2: A macrocognitive model. IEEE Intelligent Systems, 21(5), 88–92. https://doi.org/10.1109/MIS.2006.100.Google Scholar

Klein, G., Pliske, R., Crandall, B., & Woods, D. D. (2005). Problem detection. Cognition, Technology & Work, 7(1), 14–28. https://doi.org/10.1007/s10111-004-0166-y.Google Scholar

Klein, G., Ross, K. G., Moon, B. M., Klein, D. E., Hoffman, R. R., & Hollnagel, E. (2003). Macrocognition. IEEE Intelligent Systems, 18(3), 81–85. https://doi.org/10.1109/MIS.2003.1200735.Google Scholar

Kolb, D. A. (1975). Toward an applied theory of experiential learning. In Cooper, C. (ed.), Studies of group process (pp. 33–57). Wiley.Google Scholar

Larkin, P., Mesagno, C., Berry, J., & Spittle, M. (2018). Exploration of the perceptual-cognitive processes that contribute to in-game decision-making of Australian football umpires. International Journal of Sport and Exercise Psychology, 16(2), 112–124. https://doi.org/10.1080/1612197X.2016.1167760.Google Scholar

Lauber, B., & Keller, M. (2014). Improving motor performance: Selected aspects of augmented feedback in exercise and health. European Journal of Sport Science, 14(1), 36–43. https://doi.org/10.1080/17461391.2012.725104.CrossRefGoogle ScholarPubMed

Lillis, T. M. (2001). Student writing: Access, regulation, desire. Psychology Press.Google Scholar

Lindsley, D. H., Daniel, J. B., & James, B. T. (1995). Efficacy-performing spirals: A multilevel perspective. Academy of Management Review, 20(3), 645–678. https://doi.org/10.5465/amr.1995.9508080333.Google Scholar

Lintern, G., & Boot, W. R. (2021). Cognitive training: Transfer beyond the laboratory. Human Factors, 63(3), 531–547. https://doi.org/10.1177/0018720819879814.Google Scholar

Lintern, G., Taylor, H. L., Koonce, J. M., Kaiser, R. H., & Morrison, G. A. (1997). Transfer and quasi-transfer effects of scene detail and visual augmentation in landing training. The International Journal of Aviation Psychology, 7(2), 149–169. https://doi.org/10.1207/s15327108ijap0702_4.Google Scholar

Loughran, J. J. (2002). Developing reflective practice: Learning about teaching and learning through modelling. Routledge.Google Scholar

Luckin, R., & Du Boulay, B. (1999). Ecolab: The development and evaluation of a Vygotskian design framework. International Journal of Artificial Intelligence in Education, 10(2), 198–220.Google Scholar

MacMahon, C., Helsen, W. F., Starkes, J. L., & Weston, M. (2007). Decision-making skills and deliberate practice in elite association football referees. Journal of Sports Sciences, 25(1), 65–78. https://doi.org/10.1080/02640410600718640.Google Scholar

Mann, D. T., Williams, A. M., Ward, P., & Janelle, C. M. (2007). Perceptual-cognitive expertise in sport: A meta-analysis. Journal of Sport and Exercise Psychology, 29(4), 457–478. https://doi.org/10.1123/jsep.29.4.457.Google Scholar

Mariani, L. (1997). Teacher support and teacher challenge in promoting learner autonomy. Perspectives, 23(2), 5–19.Google Scholar

Mayer, R. E. (2003). Learning and instruction. Prentice Hall.Google Scholar

Mayer, R. E. (ed.). (2005). The Cambridge handbook of multimedia learning. Cambridge University Press.CrossRefGoogle Scholar

McLeod, S. A. (2017, Oct 24). Kolb-learning styles. Simply Psychology. www.simplypsychology.org/learning-kolb.html.Google Scholar

Merrill, D. (2002). First principals of instruction. Educational Technology Research and Development, 50(3), 43–59. https://doi.org/10.1007/BF02505024.Google Scholar

Michael, J. (2006). Where’s the evidence that active learning works? Advances in physiology education. 30(4), 159–167. https://doi.org/10.1152/advan.00053.2006.Google Scholar

Mikulincer, M. (1989). Cognitive interference and learned helplessness: The effects of off-task cognitions on performance following unsolvable problems.Journal of Personality and Social Psychology, 57(1), 129–135. https://doi.org/10.1037/0022-3514.57.1.129.Google Scholar

Militello, L. G., & Hoffman, R. R. (2008). The forgotten history of cognitive task analysis. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 52(4), 383–387. https://doi.org/10.1177/154193120805200439.Google Scholar

Militello, L. G., & Hutton, R. J. B. (1998). Applied cognitive task analysis (ACTA): A practitioner’s toolkit for understanding cognitive task demands. Ergonomics, 41(11), 1618–1641. https://doi.org/10.1080/001401398186108.Google Scholar

Militello, L. G., Hutton, R. J. B., Pliske, R. M., Knight, B. J., & Klein, G. (1997). Applied Cognitive Task Analysis (ACTA) methodology (Report. No. ADA335225). Klein Associates. https://apps.dtic.mil/sti/pdfs/ADA335225.pdf.Google Scholar

Militello, L. G., & Lim, L. (1995). Patient assessment skills: Assessing early cues of necrotizing enterocolitis. Journal of Perinatal and Neonatal Nursing, 9(2), 42–52. https://doi.org/10.1097/00005237-199509000-00007.Google Scholar

Militello, L. G., Roth, E. M., Scheff, S., Ernst, K. M., Sushereba, C. E., Diiulio, J. B., & Klein, D. E. (2019). Toward an optimally crewed future vertical lift vehicle: Crewing strategies and recommendations (unpublished technical report, Contract No. NNX16AJ91A, 21-1614-5637 – ADS2018). Dayton, Ohio.Google Scholar

Militello, L. G., Sushereba, C., Wolf, S., & Fernandez, R. (2021). Developing a just-in-time refresher trainer for advanced life support in austere regions: Phase I final report (unpublished technical report, Contract No. W81XWH21P0013). Dayton, OH.Google Scholar

Miller, J. E., & Patterson, E. S. (2018). Macrocognition metrics and scenarios: Design and evaluation for real-world teams. CRC Press.Google Scholar

Nash, E. B., Edwards, G. W., Thompson, J. A., & Barfield, W. (2000). A review of presence and performance in virtual environments. International Journal of Human-Computer Interaction, 12(1), 1–41. https://doi.org/10.1207/S15327590IJHC1201_1.Google Scholar

Newsome, E., Militello, L. G., & Ramachandran, S. (2020). Stratagems: Embedding cognitive training in game-based environments. Proceedings of the International Conference on Applied Human Factors and Ergonomics, USA, 1217, 589–595. https://doi.org/10.1007/978-3-030-51828-8_77.Google Scholar

Nguyen, Q. D., Fernandez, N., Karsenti, T., & Charlin, B. (2014). What is reflection? A conceptual analysis of major definitions and a proposal of a five‐component model. Medical Education, 48(12), 1176–1189. https://doi.org/10.1111/medu.12583.Google Scholar

Norman, D. A. (2013). The design of everyday things: Revised and expanded edition. Basic Books.Google Scholar

Norman, D. A. (1986). User centered system design. In Norman, D. A., & Draper, S. W. (eds.), Cognitive engineering (pp. 31–61). Lawrence Erlbaum Associates.Google Scholar

Novak, J. D., & Gowin, D. B. (1984). Learning how to learn. Cambridge University Press.Google Scholar

Odetola, F. O., Rosenberg, A. L., Davis, M. M., Clark, S. J., Dechert, R. E., & Shanley, T. P. (2008). Do outcomes vary according to the source of admission to the pediatric intensive care unit? Pediatric Critical Care Medicine, 9(1), 20–25. https://doi.org/10.1097/01.pcc.0000298642.11872.29.Google Scholar

Patterson, E. S., & Hoffman, R. R. (2012). Visualization framework of macrocognition functions. Cognition, Technology & Work, 14(3), 221–227. https://doi.org/10.1007/s10111-011-0208-1.Google Scholar

Patterson, M. D., Militello, L. G., Bunger, A., Taylor, R. G., Wheeler, D. S., Klein, G., & Geis, G. L. (2016). Leveraging the critical decision method to develop simulation-based training for early recognition of sepsis. Journal of Cognitive Engineering and Decision Making, 10(1), 36–56. https://doi.org/10.1177/1555343416629520.Google Scholar

Patterson, R. E., Pierce, B. J., Bell, H. H., & Klein, G. (2010). Implicit learning, tacit knowledge, expertise development, and naturalistic decision making. Journal of Cognitive Engineering and Decision Making, 4(4), 289–303. https://doi.org/10.1177/155534341000400403.Google Scholar

Pearce, J. M., Ainley, M., & Howard, S. (2005). The ebb and flow of online learning. Computers in Human Behavior, 21(55), 745–771. https://doi.org/10.1016/j.chb.2004.02.019.Google Scholar

Pekrun, R. (2011). Emotions as drivers of learning and cognitive development. In Calvo, R. A., & D’Mello, S. K. (eds.), New perspectives on affect and learning technologies (pp. 23–39). Springer. https://doi.org/10.1007/978-1-4419-9625-1_3.Google Scholar

Petrov, A. A., Dosher, B. A., & Lu, Z.-L. (2005). The dynamics of perceptual learning: An incremental reweighting model. Psychological Review, 112(4), 715–743. https://doi.org/10.1037/0033-295X.112.4.715.Google Scholar

Picard, R. W., Papert, S., Bender, W., Blumberg, B., Breazeal, C., Cavallo, D., Machover, T., Resnick, M., Roy, D., & Strohecker, C. (2004). Affective learning – A manifesto. BT Technology Journal, 22(4), 253–269. https://doi.org/10.1023/B:BTTJ.0000047603.37042.33.Google Scholar

Polanyi, M. (1966). Tacit Dimension. In Prusak, L. (ed.), Knowledge in organizations (pp. 135–147). Routledge.Google Scholar

Price, M., Handley, K., Millar, J., & O’Donovan, B. (2010). Feedback: All that effort, but what is the effect?Assessment & Evaluation in Higher Education, 35(3), 277–289. https://doi.org/10.1080/02602930903541007.Google Scholar

Psotka, J. (1995). Immersive training systems: Virtual reality and education and training. Instructional Science, 23(5), 405–431. https://doi.org/10.1007/BF00896880.Google Scholar

Ramachandran, S., Domeshek, E. A., Jensen, R., & Aukamp, A. (2016). Uncovering the hidden: Tradeoffs in rationale elicitation for situated tutors. Proceedings of the Interservice/Industry Training, Simulation, and Education Conference. USA.Google Scholar

Richards, P. (2005). Empowering the decision-making process in the competitive sport environment through using reflective practice. Can performance intelligence be taught [Paper Presentation]. Fourth Carfax International Conference on Reflective Practice, USA.Google Scholar

Richards, P., Mascarenhas, D. R. D., & Collins, D. (2009). Implementing reflective practice approaches with elite team athletes: Parameters of success. Reflective Practice, 10(3), 353–363. https://doi.org/10.1080/14623940903034721.Google Scholar

Robson, S., & Manacapilli, T. (2014). Enhancing performance under stress: Stress inoculation training for battlefield airmen (Report No. ADA605157). RAND PROJECT AIR FORCE. https://apps.dtic.mil/sti/pdfs/ADA605157.pdf.Google Scholar

Ross, S. L. (1985). The effectiveness of mental practice in improving the performance of college trombonists. Journal of Research in Music Education, 33(4), 221–230. https://doi.org/10.2307/3345249.Google Scholar

Rouse, W. B., & Morris, N. M. (1986). On looking into the black box: Prospects and limits in the search for mental models. Psychological Bulletin, 100(3), 349–363. https://doi.org/10.1037/0033-2909.100.3.349.Google Scholar

Roza, Z. C. (2004). Simulation Fidelity Theory and Practice: A unified approach to defining, specifying, and measuring the realism of simulations. [Doctoral thesis, Delft University] DUP Science: Delft.Google Scholar

Sackett, R. S. (1934). The influence of symbolic rehearsal upon the retention of a maze habit. The Journal of General Psychology, 10(2), 376–398. https://doi.org/10.1080/00221309.1934.9917742.Google Scholar

Sackett, R. S. (1935). The relationship between amount of symbolic rehearsal and retention of a maze habit. The Journal of General Psychology, 13(1), 113–130. https://doi.org/10.1080/00221309.1935.9917869.Google Scholar

Salas, E., Cannon-Bowers, J. A., Fiore, S. M., & Stout, R. J. (2001). Cue-recognition training to enhance team situational awareness. In McNeese, M., Salas, E., & Endsley, M. (eds.), New trends in cooperative activities: Understanding system dynamics in complex environments (pp. 169–190). Human Factors and Ergonomics Society.Google Scholar

San Pedro, M. O. Z., Baker, R. S. J. d., Gowda, S. M., & Heffernan, N. T. (2013). Towards an understanding of affect and knowledge from student interaction with an intelligent tutoring system. Proceedings of the International Conference on Artificial Intelligence in Education, 7926, 41–50. https://doi.org/10.1007/978-3-642-39112-5_5.Google Scholar

Sanders, C. W., Sadoski, M., Wasserman, R. M., Wiprud, R., English, M., & Bramson, R. (2007). Comparing the effects of physical practice and mental imagery rehearsal on learning basic venipuncture by medical students. Imagination, Cognition and Personality, 27(2), 117–127. https://doi.org/10.2190/IC.27.2.c.Google Scholar

Schebesta, K., Hüpfl, M., Roessler, B., Ringl, H., Mueller, M. P., & Kimberger, O. (2012). Degrees of reality: Airway anatomy of high-fidelity human patient simulators and airway trainers. Anesthesiology: The Journal of the American Society of Anesthesiologists, 116(6), 1204–1209. https://doi.org/10.1097/ALN.0b013e318254cf41.Google Scholar

Schön, D. A. (1987). Educating the reflective practitioner: Toward a new design for teaching and learning in the professions. Jossey-Bass.Google Scholar

Schraagen, J. M., Militello, L. G., Ormerod, T., & Lipshitz, R. (eds.). (2008). Naturalistic decision making and acrocognition. Ashgate.Google Scholar

Schworm, S., & Renkl, A. (2006). Computer-supported example-based learning: When instructional explanations reduce self-explanations. Computers & Education, 46(4), 426–445. https://doi.org/10.1016/j.compedu.2004.08.011.Google Scholar

Seel, N. M., & Dinter, F. R. (1995). Instruction and mental model progression: Learner‐dependent effects of teaching strategies on knowledge acquisition and analogical transfer. Educational Research and Evaluation, 1(1), 4–35. https://doi.org/10.1080/1380361950010102.Google Scholar

Shanteau, J. (1992). How much information does an expert use? Is it relevant? Acta Psychologica, 81(1), 75–86. https://doi.org/10.1016/0001-6918(92)90012-3.Google Scholar

Sherman, W. R., & Craig, A. B. (2018). Understanding virtual reality: Interface, application, and design (2nd ed). Morgan Kaufmann.Google Scholar

Silsby, J., Jordan, G., Bayley, G., & Cook, T. M. (2006). Evaluation of four airway training manikins as simulators for inserting the LMA Classic^TM. Anaesthesia, 61(6), 576–579. https://doi.org/10.1111/j.1365-2044.2006.04643.x.Google Scholar

Singh, D., Kojima, T., Gurnaney, H., & Deutsch, E. S. (2020). Do fellows and faculty share the same perception of simulation fidelity? A pilot study. Simulation in Healthcare, 15(4), 266–270. https://doi.org/10.1097/sih.0000000000000454.Google Scholar

Slovic, P. (1969). Analyzing the expert judge: A descriptive study of a stockbroker’s decision process. Journal of Applied Psychology, 53(4), 255–263. https://doi.org/10.1037/h0027773.Google Scholar

Stottler, R., Panichas, S., & San Mateo, C. A. (2006). A new generation of tactical action officer intelligent tutoring system (ITS). Proceedings of Industry/ Interservice, Training, Simulation and Education Conference, USA.Google Scholar

Sushereba, C. E., Militello, L. G., Wolf, S., & Patterson, E. S. (2021). Use of augmented reality to train sensemaking in high-stakes medical environments. Journal of Cognitive Engineering and Decision Making, 15(2–3), 55–65. https://doi.org/10.1177/15553434211019234.Google Scholar

Timmermann, A. (2011). Supraglottic airways in difficult airway management: Successes, failures, use and misuse. Anaesthesia, 66, 45–56. https://doi.org/10.1111/j.1365-2044.2011.06934.x.Google Scholar

Verkuyl, M., Lapum, J. L., Hughes, M., McCulloch, T., Liu, L., Mastrilli, P., Romaniuk, D., & Betts, L. (2018). Virtual gaming simulation: Exploring self-debriefing, virtual debriefing, and in-person debriefing. Clinical Simulation in Nursing, 20, 7–14. https://doi.org/10.1016/j.ecns.2018.04.006.Google Scholar

Vovk, A., Wild, F., Guest, W., & Kuula, T. (2018). Simulator sickness in augmented reality training using the Microsoft HoloLens. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1–9. https://doi.org/10.1145/3173574.3173783.Google Scholar

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.Google Scholar

Vygotsky, L. S. (1987). Thinking and speech. (N. Minick, Trans.). Plenum Press. (Original work published 1934.)Google Scholar

Wang, M., & Kang, M. (2006). Cybergogy for engaged learning: A framework for creating learner engagement through information and communication technology. In Hung, D., & Khine, M. S. (eds.), Engaged learning with emerging technologies (pp. 225–253). Springer, Dordrecht. https://doi.org/10.1007/1-4020-3669-8_11.Google Scholar

Ward, P., Gore, J., Hutton, R., Conway, G. E., & Hoffman, R. R. (2018). Adaptive skill as the conditio sine qua non of expertise. Journal of Applied Research in Memory and Cognition, 7(1), 35-50. https://doi.org/10.1016/j.jarmac.2018.01.009.Google Scholar

Wass, R., Harland, T., & Mercer, A. (2011). Scaffolding critical thinking in the zone of proximal development. Higher Education Research & Development, 30(3), 317–328. https://doi.org/10.1080/07294360.2010.489237.Google Scholar

Waterworth, J. A., Waterworth, E. L., & Westling, J. (2002). Presence as performance: The mystique of digital participation [Paper Presentation]. Presence Fifth Annual International Workshop.Google Scholar

Whetzel, D. L. & McDaniel, M. A. (2009). Situational judgment tests: An overview of current research. Human Resource Management Review, 19(3), 188–202. https://doi.org/10.1016/j.hrmr.2009.03.007.Google Scholar

Wickens, C. D., Hutchins, S., Carolan, T., & Cumming, J. (2013). Effectiveness of part-task training and increasing-difficulty training strategies: A meta-analysis approach. Human Factors, 55(2), 461–470. https://doi.org/10.1177/0018720812451994.Google Scholar

Wiet, G. J., Stredney, D., Kerwin, T., Hittle, B., Fernandez, S. A., Abdel-Rasoul, M., & Welling, D. B. (2012). Virtual temporal bone dissection system: OSU virtual temporal bone system: Development and testing. Laryngoscope, 122(S1), S1–S12. https://doi.org/10.1002/lary.22499.Google Scholar

Wiet, G. J., Stredney, D., Sessanna, D., Bryan, J. A., Welling, D. B., & Schmalbrock, P. (2002). Virtual temporal bone dissection: An interactive surgical simulator. Otolaryngol – Head Neck Surg. 127(1), 79–83. https://doi.org/10.1067/mhn.2002.126588.Google Scholar

Wiggins, M., & O’Hare, D. (2003). Weatherwise: Evaluation of a cue-based training approach for the recognition of deteriorating weather conditions during flight. Human Factors, 45(2), 337–345. https://doi.org/10.1518/hfes.45.2.337.27246.Google Scholar

Wilson, K., & Devereux, L. (2014). Scaffolding theory: High challenge, high support in Academic Language and Learning (ALL) contexts. Journal of Academic Language and Learning, 8(3), A91–A100.Google Scholar

Winner, J., & Millwater, T. L. (2019). Evaluating human patient simulation fidelity and effectiveness for combat-medical training. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care, USA, 8(1), 176–180. https://doi.org/10.1177/2327857919081043.Google Scholar

Witmer, B. G., & Singer, M. J. (1994). Measuring presence in virtual environments (Report No. ADA286183). Army Research Institute for the Behavioral and Social Sciences. https://apps.dtic.mil/sti/pdfs/ADA286183.pdf.Google Scholar

Witmer, B. G., & Singer, M. J. (1998). Measuring presence in virtual environments: A presence questionnaire. Presence, 7(3), 225–240. https://doi.org/10.1162/105474698565686.Google Scholar

Wofford, J. C., & Goodwin, V. L. (1990). Effects of feedback on cognitive processing and choice of decision style. Journal of Applied Psychology, 75(6), 603–612. https://doi.org/10.1037/0021-9010.75.6.603.Google Scholar

Woolf, B. P. (2008). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann.Google Scholar

Wylie, R., & Chi, M. T. H. (2014). The self-explanation principle in multimedia learning. In Mayer, R. E. (ed.), The Cambridge handbook of multimedia learning (pp. 413–432). Cambridge University Press.Google Scholar

Young, J. Q., Ranji, S. R., Wachter, R. M., Lee, C. M., Niehaus, B., & Auerbach, A. D. (2011). “July effect”: Impact of the academic year-end changeover on patient outcomes: A systematic review. Annals of Internal Medicine, 155(5), 309–315. https://doi.org/10.7326/0003-4819-155-5-201109060-00354.Google Scholar

Zajonc, R. B. (1980). Feeling and thinking: Preferences need no inferences. American Psychologist, 35(1), 151–175. http://dx.doi.org/10.1037/0003-066X.35.2.151.Google Scholar

Zhang, C., Perkis, A., & Arndt, S. (2017). Spatial immersion versus emotional immersion, which is more immersive? Proceedings of the Ninth International Conference on Quality of Multimedia Experience, Germany. https://doi.org/10.1109/QoMEX.2017.7965655.Google Scholar

Zhu, E., Hadadgar, A., Masiello, I., & Zary, N. (2014). Augmented reality in healthcare education: An integrative review. PeerJ, 2, e469. https://doi.org/10.7717%2Fpeerj.469.Google Scholar