Abstract
Game-based learning is an effective tool for motivating engineering students to engage with difficult and often complex topics. Although some research has been conducted on how games elicit motivation, additional studies have been suggested. The proposed work leverages Keller’s ARCS-V theory to investigate how desire for a specific outcome within the process safety digital game Contents Under Pressure affects students’ satisfaction or dissatisfaction with their experience. It was observed that students play the game with a desire either to improve themselves for internal satisfaction or to reach a set external objective in terms of academic or career performance. Many students also played the game with the goal to achieve key outcomes as it relates to game-based metrics. Students expressed a mixture of satisfaction and dissatisfaction with the outcome obtained. Those who were satisfied were most often exhibiting behaviors of paragaming or were experiencing immersion in the game, whereas those students that showed dissatisfaction often blamed the game while expressing difficulties with achieving a positive outcome.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bodnar, C.A., Anastasio, D., Enszer, J., Burkey, D.: Engineers at play: utilization of games as teaching tools for undergraduate engineering students. J. Eng. Educ. 105(1), 147–200 (2016). https://doi.org/10.1002/jee.20106
Young, M., et al.: Our princess is in another castle: a review in trends in serious gaming for education. Rev. Educ. Res. 81(1), 61–89 (2012)
Grund, C.K.: How games and game elements facilitate learning and motivation: a literature review. INFORMATIK (2015)
Csikszentmihalyi, M., Csikzentmihaly, M.: Flow: The Psychology of Optimal Experience. Harper & Row, New York (1990)
Cowley, B., Charles, D., Black, M., Hickey, R.: Toward an understanding of flow in video games. Comput. Entertain. (CIE) 6(2), 1–27 (2008)
Chen, J.: Flow in games (and everything else). Commun. ACM 50(4), 31–34 (2007)
Ryan, R., Deci, E.: Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am. Psychol. 55(1), 68–78 (2000)
Ghergulescu, I., Muntean, C.: Assessment of motivation in gaming based e-learning. In: Proceedings of the IADIS International Conference on WWW/Internet (2010)
Kankanhalli, A., Taher, M., Cavusoglu, H., Kim, S.: Gamification: a new paradigm for online user engagement. In: International Conference on Information Systems, ICIS 2012, pp. 3573–3582 (2012)
Keller, J.: An integrative theory of motivation, volition, and performance. Technol. Instr. Cogn. Learn. 6(2), 79–104 (2008)
Woo, J.: Digital game-based learning supports student motivation, cognitive success, and performance outcomes. J. Educ. Technol. Soc. 17(3), 291–307 (2014)
ABET, Criteria for Accrediting Engineering Programs (2020–2021). https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2020-2021/. Accessed 15 May 2021
Nicaise, M., Gibney, T., Crane, M.: Toward an understanding of authentic learning: student perceptions of an authentic classroom. J. Sci. Educ. Technol. 9(1), 79–94 (2000)
Colby, A., Sullivan, W.: Ethics teaching in undergraduate engineering education. J. Eng. Educ. 97(3), 327–338 (2008)
Shepherd, A.: Issues in the training of process operators. Int. J. Ind. Ergon. 1, 49–64 (1986)
U.S. Chemical Safety Board, Video Room. https://www.csb.gov/videos/. Accessed 13 May 2021
Institution of Chemical Engineers, IChemE Safety Centre Case Studies. https://www.icheme.org/knowledge/safety-centre/case-studies/. Accessed 13 May 2021
Keller, J.: Motivation, learning, and technology: applying the ARCS-V motivation model. Particip. Educ. Res. 3(2), 1–15 (2016)
Keller, J.: The arcs model of motivational design. In: Motivational Design for Learning and Performance. Springer, Boston (2010)
Huang, W., Huang, W., Tschopp, J.: Sustaining iterative game playing processes in DGBL: the relationship between motivational processing and outcome processing. Comput. Educ. 55(2), 789–797 (2010)
Karakis, H., Karamete, A., Okçu, A.: The effects of a computer-assisted teaching material, designed according to the ASSURE instructional design and the ARCS model of motivation, on students’ achievement levels in a mathematics lesson and their attitudes. Eur. J. Contemp. Educ. 15(1), 105–113 (2016)
Blesić, I., Nedeljković, U.: Applying the arcs-V model to planning and designing an educational computer video game. Polytech. Des. 5(4), 280–286 (2017)
Keller, J.M.: The MVP model: overview and application. New Dir. Teach. Learn. 2017(152), 13–26 (2017)
Wigfield, A.: Expectancy-value theory of achievement motivation: a developmental perspective. Educ. Psychol. Rev. 6(1), 49–78 (1994)
Stransky, J., Bassett, L., Bodnar, C., Anastasio, D., Burkey, D., Cooper, M.: A retrospective analysis on the impacts of an immersive digital environment on chemical engineering students’ moral reasoning. Educ. Chem. Eng. 35, 22–28 (2021). https://doi.org/10.1016/j.ece.2020.12.003
Stransky, J., Bodnar, C.A., Cooper, M., Anastasio, D., Burkey, D.: Authentic process safety decisions in an engineering ethics context: expression of student moral development within surveys and immersive environments. Aust. J. Eng. Educ. (2020). https://doi.org/10.1080/22054952.2020.1809881
Walther, J., Sochacka, N., Kellam, N.: Quality in interpretive engineering education research: reflections on an example study. J. Eng. Educ. 102, 626–659 (2013). https://doi.org/10.1002/jee.20029
Miles, M., Huberman, A., Saldana, J.: Qualitative Data Analysis: A Methods Sourcebook, 3rd edn., pp. 69–86. Thousand Oaks (2014)
Landis, J., Koch, G.: The measurement of observer agreement for categorical data. Biometrics 33(1), 159 (1977). https://doi.org/10.2307/2529310
Hendrickson, C., Au, T.: Quality control and safety during construction. In: Hendrickson, C. (ed.) Project Management for Construction: Fundamental Concepts for Owners, Engineers, Architects, and Builders. Prentice Hall (2008)
Friedman, S., Greenhaus, J.: Choosing Work or Family ... or Both?, Work and Family-Allies or Enemies?: What Happens When Business Professionals Confront Life Choices, vol. 1, pp. 19–40. Oxford Scholarship Online (2011)
Dönmez, K., Uslu, S.: The effect of management practices on aircraft incidents. J. Air Transp. Manag. 84, 1–11 (2020)
U.S. Chemical Safety Board: Investigation Report: Non-Condensable Gas System Explosion at PCA DeRidder Paper Mill 102 (2018)
U.S. Chemical Safety Board: PES Factual Update (2019)
U.S. Chemical Safety Board: Final Investigation Report: Chevron Richmond Refinery #4 Crude Unit. 132 (2015)
Carter, M. Gibbs, M., Harrop, M.: Metagames, paragames and orthogames: A new vocabulary. In: Foundations of Digital Games Conference Proceedings, FDG 2012, pp. 11–17 (2012). https://doi.org/10.1145/2282338.2282346
Bormann, D., Greitemeyer, T.: Immersed in virtual worlds and minds: effects of in-game storytelling on immersion, need satisfaction, and affective theory of mind. Soc. Psychol. Pers. Sci. 6(6), 646–652 (2015)
Acknowledgements
The work was supported by NSF Improving Undergraduate STEM Education [IUSE DUE#1711376, 1711644, 1711672, and, 1711866] for which the authors are very grateful. The authors would also like to thank Filament Games for their development of Contents Under Pressure.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendices
Appendices
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Stransky, J., Bassett, L., Bodnar, C.A., Anastasio, D., Burkey, D., Cooper, M. (2022). Understanding Student Motivation to Engage in the Contents Under Pressure Digital Game. In: Auer, M.E., Hortsch, H., Michler, O., Köhler, T. (eds) Mobility for Smart Cities and Regional Development - Challenges for Higher Education. ICL 2021. Lecture Notes in Networks and Systems, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-030-93904-5_86
Download citation
DOI: https://doi.org/10.1007/978-3-030-93904-5_86
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-93903-8
Online ISBN: 978-3-030-93904-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)