Abstract
One of the key challenges in engineering education is the problem of teaching future engineers’ professional skills. Engineering students need to know what they do and do not know. This is termed metacognition. There is still quite a bit that we do not know about how metacognition develops in classroom settings. In this study, we discuss an exploration of these issues using both physical and virtual reality (VR) simulations of manufacturing systems; which are performed by student teams. We discuss the incorporation of measures of metacognition into a model of conflict and error to predict what types of experiences may be most helpful to produce improved metacognition in engineering students.
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Deloitte. https://www2.deloitte.com/
Levesque, K., Laird, J., Hensley, E., Choy, S.P., Cataldi, E.F., Hudson, L.: Career and Technical Education in the United States: 1990 to 2005. Statistical Analysis Report. NCES 2008-035. National Center for Education Statistics (2008)
Aqlan, F., Al-Fandi, L.: Prioritizing process improvement initiatives in manufacturing environments. Int. J. Prod. Econ. 196, 261–268 (2018)
Sengul, S., Katranci, Y.: Meta-cognitive aspects of solving indefinite integral problems. Procedia - Soc. Behav. Sci 197, 622–629 (2015)
García Peñalvo, F.J.: Entrepreneurial and problem solving skills in software engineers. J. Inf. Technol. Res. 8, iv–vi (2015)
Bickhard, M.H.: Why children don’t have to solve the frame problems: cognitive representations are not encodings. Dev. Rev. 21, 224–262 (2001)
Visser, W.: The Cognitive Artifacts of Designing. CRC Press, Boca Raton (2006)
Flavell, J.H.: Metacognition and cognitive monitoring: a new area of cognitive-developmental inquiry. Am. Psychol. 34, 906 (1979)
Flavell, J.H., Friedrichs, A.G., Hoyt, J.D.: Developmental changes in memorization processes. Cogn. Psychol. 1, 324–340 (1970)
Markman, E.M.: Realizing that you don’t understand: a preliminary investigation. Child Dev. 48(3), 986–992 (1977)
Schraw, G., Dennison, R.: Assessing meta-cognitive awareness. Contemp. Educ. Psychol. 19, 460–475 (1994)
Garrison, D.R., Akyol, Z.: Toward the development of a metacognition construct for communities of inquiry. Internet High. Educ. 24, 66–71 (2015)
Zohar, A., Lustov, E.: Challenges in Addressing Metacognition in Professional Development Programs in the Context of Instruction of Higher-Order Thinking. Contemporary Pedagogies in Teacher Education and Development. Intech Open (2018)
Coutinho, M.V., Redford, J.S., Church, B.A., Zakrzewski, A.C., Couchman, J.J., Smith, J.D.: The interplay between uncertainty monitoring and working memory: can metacognition become automatic? Mem. Cogn. 43, 990–1006 (2015)
Akturk, A.O., Sahin, I.: Literature review on metacognition and its measurement. Procedia Soc. Behav. Sci. 15, 3731–3736 (2011)
van Gog, T., Jarodzka, H.: Eye tracking as a tool to study and enhance cognitive and metacognitive processes in computer-based learning environments. In: International Handbook of Metacognition and Learning Technologies, pp. 143–156. Springer (2013)
Lawanto, O., Santoso, H.B.: Development and validation of the engineering design metacognitive questionnaire. In: American Society of Engineering Education (ASEE) Annual Conference (2014)
Cooke, R.A., Szumal, J.L.: Measuring normative beliefs and shared behavioral expectations in organizations: the reliability and validity of the organizational culture inventory. Psychol. Rep. 72, 1299–1330 (1993)
Jackson, S.A., Marsh, H.W.: Development and validation of a scale to measure optimal experience: the flow state scale. J. Sport. Exerc. Psychol. 18, 17–35 (1996)
Green, D.M., Swets, J.A.: Signal Detection Theory and Psychophysics. Wiley, New York (1966)
Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. In: Proceedings of the Eye Tracking Research and Applications Symposium, pp. 71–78. ACM Press, New York (2000)
Rayner, K.: The 35th Sir Frederick Bartlett lecture: eye movements and attention in reading, scene perception, and visual search. Q. J. Exp. Psychol. 62, 1457–1506 (2009)
Costa-Gomes, M., Crawford, V.P., Broseta, B.: Cognition and behavior in normal-form games: an experimental study. Econ. 69, 1193–1235 (2001)
Orquin, J.L., Ashby, N.J.S., Clarke, A.D.F.: Areas of interest as a signal detection problem in behavioral eye-tracking research. J. Behav. Decis. Mak. 29, 103–115 (2016)
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This material is based upon work supported by the National Science Foundation under Grant No. (1830741). Awarded 8/1/18.
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Elliott, L.J., Lum, H.C., Aqlan, F., Zhao, R., Lasher, C.D. (2020). A Study of Metacognitive Problem Solving in Undergraduate Engineering Students. In: Karwowski, W., Ahram, T., Nazir, S. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2019. Advances in Intelligent Systems and Computing, vol 963. Springer, Cham. https://doi.org/10.1007/978-3-030-20135-7_9
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DOI: https://doi.org/10.1007/978-3-030-20135-7_9
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