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Online Engineering & Internet of Things pp 570–582Cite as

The Finite State Trading Game: Developing a Serious Game to Teach the Application of Finite State Machines in a Stock Trading Scenario

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 22))

Abstract

In this paper a new methodology to teach the topic Finite State Machines to upper vocational school students is proposed. A Serious Game solution was created consisting of nine learning objectives split into categories about the basics of Finite State Machines, the parallels between Finite State Machines and stock trading and the application of Finite State Machines in order to construct Artificial Intelligence. This paper focuses on the existing parallels between Finite State Machines and the concepts of automated stock trading. The learning objectives were determined using Bloom’s Taxonomy and implemented into the Serious Game “The Finite State Trading Game” (FSTG). In this turn-based trading game, the user strives to beat a Non-Player Character by skillfully trading shares at various difficulty levels. In order to evaluate the Serious Game approach, a pre-test and post-test situation was performed with students of a local upper vocational school class at the Technical University of Munich. The analysis of the results showed major improvements of the students’ knowledge about Finite State Machines for every tested statement. Given the success of this test setting, FSTG appears to be a promising solution to be used to support or even substitute traditional ways of teaching.

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References

  1. Entertainment Software Associate ESA. 2011 essential facts about the computer and video game industry. http://www.isfe.eu/sites/isfe.eu/files/attachments/esa_ef_2011.pdf

  2. Black, P.: Finite state machine. http://xlinux.nist.gov/dads/HTML/finiteStateMachine.html

  3. Bayerisches Staatsministerium für Unterricht und Kultus, “Lehrpläne für die Fachoberschule und Berufsoberschule Ausbildungsrichtungen Technik, Agrarwirtschaft, Gestaltung Unterrichtsfach: Technologie/Informatik Ausbildungsrichtung Wirtschaft, Verwaltung und Rechtspflege Unterrichtsfach: Technologie Jahrgangsstufen 11 bis 13”, ed (2006)

    Google Scholar 

  4. Technical University of Munich: Bachelor’s Program Informatics: Curriculum and Courses (2012). http://www.in.tum.de/en/current-students/bachelors-programs/informatics/curriculum-and-courses.html

  5. Nipkow, T.: Introduction to Theory of Computation (2011). https://campus.tum.de/tumonline/WBMODHB.wbShowMHBReadOnly?pKnotenNr=454045&pOrgNr=14189

  6. Utesch, M., Hauer, A., Heininger, R., Krcmar, H.: An IT-based learning approach about finite state machines using the example of stock trading. In: Interactive Collaborative Learning (ICL) 2016, Belfast, UK (2016)

    Google Scholar 

  7. Adamczyk, P.: The anthology of the finite state machine design patterns. In: The 10th Conference on Pattern Languages of Programs (2003)

    Google Scholar 

  8. Docebo: E-learning Market Trends and Forecast 2014–2016 Report. https://www.docebo.com/landing/contactform/elearning-market-trends-and-forecast-2014-2016-docebo-report.pdf

  9. Zimmerman, B.J.: Becoming a self-regulated learner: an overview. Theor. Pract. 41, 64–70 (2002)

    Article  Google Scholar 

  10. Utesch, M., Heininger, R., Krcmar, H.: Strengthening study skills by using ERPsim as a new tool within the pupils’ academy of serious gaming. In: 2016 IEEE Global Engineering Education Conference (EDUCON), pp. 592–601 (2016)

    Google Scholar 

  11. Andergassen, M., Ernst, G., Guerra, V., Mödritscher, F., Moser, M., Neumann, G., et al.: The evolution of e-learning platforms from content to activity based learning: the case of Learn@WU. In: 2015 International Conference on Interactive Collaborative Learning (ICL), pp. 779–784 (2015)

    Google Scholar 

  12. Bloom, B.S.: Taxonomy of Educational Objectives, vol. 1: Cognitive Domain. McKay, New York (1956)

    Google Scholar 

  13. Krathwohl, D.R.: A revision of Bloom’s taxonomy: an overview. Theor. Pract. 41, 212–218 (2002)

    Article  Google Scholar 

  14. Yuan, L., Qu, G.: Information hiding in finite state machine. In: Fridrich, J. (ed.) IH 2004. LNCS, vol. 3200, pp. 340–354. Springer, Heidelberg (2004). doi:10.1007/978-3-540-30114-1_24

    Chapter  Google Scholar 

  15. Anderson, L.W., Krathwohl, D.R.: A taxonomy for learning, teaching, and assessing: a revision of Bloom’s taxonomy of educational objectives. ed: Allyn and Bacon (2001)

    Google Scholar 

  16. Groß-Klußmann, A., Hautsch, N.: When machines read the news: using automated text analytics to quantify high frequency news-implied market reactions. J. Empirical Finance 18, 321–340 (2011)

    Article  Google Scholar 

  17. Utesch, M., Heininger, R., Krcmar, H.: The pupils’ academy of serious gaming: strengthening study skills with ERPsim. In: 2016 13th International Conference on Remote Engineering and Virtual Instrumentation (REV), pp. 93–102 (2016)

    Google Scholar 

  18. Likert, R.: A technique for the measurement of attitudes. Arch. Psychol. 22, 5–55 (1932)

    Google Scholar 

  19. Utesch, M.C.: Five years of the pupils’ academy of serious gaming: enhancing the ability to study. In: 2015 IEEE Global Engineering Education Conference (EDUCON), pp. 189–198 (2015)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Staatliche Fachober- und Berufsoberschule Technik München, Munich, Germany

    Matthias Utesch

  2. Chair for Information Systems, Technical University of Munich (TUM), Munich, Germany

    Andreas Hauer, Robert Heininger & Helmut Krcmar

Authors
  1. Matthias Utesch
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  2. Andreas Hauer
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  3. Robert Heininger
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  4. Helmut Krcmar
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Corresponding author

Correspondence to Matthias Utesch .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences , Villach, Austria

    Michael E. Auer

  2. Carinthia University of Applied Sciences , Villach, Austria

    Danilo G. Zutin

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Utesch, M., Hauer, A., Heininger, R., Krcmar, H. (2018). The Finite State Trading Game: Developing a Serious Game to Teach the Application of Finite State Machines in a Stock Trading Scenario. In: Auer, M., Zutin, D. (eds) Online Engineering & Internet of Things. Lecture Notes in Networks and Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-64352-6_54

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  • DOI: https://doi.org/10.1007/978-3-319-64352-6_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64351-9

  • Online ISBN: 978-3-319-64352-6

  • eBook Packages: EngineeringEngineering (R0)

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