Abstract
Multi-modal approaches have increasingly shown promise in exploring the human side of engineering via the assessment of authentic responses to learning or working environments. This study explores the utility of non-invasive physiological wrist sensors in measuring the reactive and regulatory responses of a group of 161 engineering students taking an authentic engineering practice exam. The practice exam was categorized into Conceptual problems (e.g., rote memorization) and Analytical problems (e.g., requiring application of learned concepts through equations and free-body diagrams). Responses were measured through electrodermal activity and indicators of performance. Findings identified that the type of practice exam problem, even if designed to be within the moderate range of difficulty, influenced how students reacted to and regulated their performance to the problem (as seen by stronger positive correlations in the Analytical problems) and that these may occur via multi-componential processes.
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References
Jarrell, A., Harley, J.M., Lajoie, S., Naismith, L.: Success, failure, and emotions: examining the relationship between performance feedback and emotions in diagnostic reasoning. Educ. Tech. Res. Dev. 65(5), 1263–1284 (2017)
Pekrun, R., Bühner, M.: Self-report measures of academic emotions. In: Pekrun, R., Linnenbrink-Garcia, L. (eds.) International Handbook of Emotions in Education, pp. 561–566. Routledge Press, London (2014)
Roos, A.L., et al.: Test anxiety and physiological arousal: a systematic review and meta-analysis. Educ. Psychol. Rev. 33, 1–40 (2020)
Spangler, G., Pekrun, R., Kramer, K., Hofmann, H.: Students’ emotions, physiological reactions, and coping in academic exams. Anxiety Stress Coping 15(4), 413–432 (2002)
Husman, J., Cheng, K.: When performance really matters: future time perspective and career aspirations. In: European Association of Learning and Instruction, Limassol, Cyprus (2015)
Husman, J., Cheng, K.C., Barnes, M.E., Espino, K.: Managing emotions when it counts: stress, academic achievement emotions, and perceptions of instrumentality. In: American Educational Research Association, Chicago, IL (2016)
Villanueva, I., et al.: A cross-disciplinary and multi-modal experimental design for studying near-real-time authentic examination experiences. J. Vis. Exp. 151(e60037), 1–10 (2019)
Azevedo, R., Taub, M., Mudrick, N., Farnsworth, J., Martin, S.A.: Interdisciplinary research methods used to investigate emotions with advanced learning technologies. In: Zembylas, M., Schutz, P.A. (eds.) Methodological Advances in Research on Emotion and Education, pp. 231–243. Springer (2016)
Villanueva, I., Campbell, B., Raikes, A., Jones, S., Putney, L.: A multi-modal exploration of engineering students’ emotions and electrodermal activity in design activities. J. Eng. Educ. 107(3), 414–441 (2018)
Strohmaier, A.R., Schiepe-Tiska, A., Reiss, K.M.: A comparison of self-reports and electrodermal activity as indicators of mathematics state anxiety. An application of the control-value theory. Frontline Learn. Res. 8(1), 16–32 (2020)
Boucsein, W., Backs, R.W.: Engineering psychophysiology as a discipline: historical and theoretical aspects. In: Backs, R.W., Boucsein, W. (eds.) Engineering Psychophysiology. Issues and Applications, pp. 3–30. Lawrence Erlbaum, Mahwah (2000)
Boucsein, W., Backs, R.W.: The psychophysiology of emotion, arousal, and personality: methods and models. In: Duffy, V.G. (ed.) Handbook of Digital Human Modeling, pp. 35–38. CRC, Boca Raton (2009)
Sano, A., Picard, R.W., Stickgold, R.: Quantitative analysis of wrist electrodermal activity during sleep. Int. J. Psychophysiol. 94(3), 382–389 (2014)
Braithwaite, J.J., Watson, D.G., Jones, R., Rowe, M.: A guide for analyzing electrodermal activity (EDA) & skin conductance responses (SCRs) for psychological experiments (Technical report, 2nd version). Behavioural Brain Sciences Centre, Birmingham (2015)
Empatica. Empatica E4 wristband (2016). https://www.empatica.com/e4-wristband
Johari, J., et al.: Difficulty index of examinations and their relation to the achievement of programme out comes. Procedia Soc. Behav. Sci. 18, 71–80 (2011)
Benedek, M., Kaernbach, C.: A continuous measure of phasic electrodermal activity. J. Neurosci. Methods 190(1), 80–91 (2010)
Vygotsky, L.S.: Mind in Society: The Development of Higher Psychological Processes. Harvard University Press, Cambridge (1978)
Vygotsky, L.S.: Thought and Language. MIT Press, Cambridge (1986)
Pekrun, R.: The control-value theory of achievement emotions: assumptions, corollaries, and implications for educational research and practice. Educ. Psychol. Rev. 18(4), 315–341 (2006)
Taleb, N.N.: Antifragile: Things That Gain from Disorder. Random House, New York (2012)
National Academy of Engineering. https://www.nae.edu/230195/Call-for-Engineering-Response-to-the-COVID19-Crisis
ABET Engineering Accreditation Commission. Criteria for accrediting engineering programs effective for reviews during the 2020–2021 accreditation cycle (2019)
Thomas Insights. https://www.thomasnet.com/insights/top-10-in-demand-skills-in-a-post-covid-world-according-to-world-economic-forum/
Qadir, J., Al-Fuqaha, A.: A student primer on how to thrive in engineering education during and beyond COVID-19. Educ. Sci. 10(9), 1–22 (2020)
Acknowledgment
This material is based upon work supported in part by the National Science Foundation (NSF) No. EED-1661100/1661177. Any opinions, findings, and conclusions or recommendations expressed in this material do not necessarily reflect those of NSF.
Author contributions in this paper: Villanueva Alarcón (research design, data collection and analysis, writing, editing); Marte Zorrilla (data collection, analysis, writing, editing); Husman (research design, data collection, editing); Graham (writing and editing).
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Villanueva Alarcón, I., Zorrilla, E.M., Husman, J., Graham, M. (2021). Human-Technology Frontier: Measuring Student Performance-Related Responses to Authentic Engineering Education Activities via Physiological Sensing. In: Leitner, C., Ganz, W., Satterfield, D., Bassano, C. (eds) Advances in the Human Side of Service Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 266. Springer, Cham. https://doi.org/10.1007/978-3-030-80840-2_39
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