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Titel:

Automated Stock Trading – Developing the Serious Game FSTG to Teach the T opic of Finite State Machines

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Matthias Utesch, Andreas Hauer, Robert Heininger, Helmut Krcmar
Nicht-TUM Koautoren:
nein
Kooperation:
-
Abstract:
A new methodology to teach about the topic of Finite State Machines is presented in this paper. For this purpose, nine learning objectives which are classified into the three categoriesBasics of Finite State Machines, parallels between Finite State Machines and stock trading, and the application of Finite State Machines were developed and implemented into a Serious Game solution. This paper covers the third category about the application of Finite State Mac...     »
Stichworte:
Serious Game · Finite State Machine · stock trading · Bloom ́s taxono my for learning objectives · Artificial Intelligence
Intellectual Contribution:
Learning and Pedagogical Research
Zeitschriftentitel:
International Journal of Engineering Pedagogy (iJEP)
Journal gelistet in FT50 Ranking:
nein
Jahr:
2017
Seitenangaben Beitrag:
17-33
Volltext / DOI:
doi:10.3991/ijep.v7i1.6524
Urteilsbesprechung:
0
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
commissioned:
not commissioned
Professional Journal:
Nein
Interdisziplinarität:
Nein
Leitbild:
;
Ethics und Sustainability:
Nein
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