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Titel:

An IT - based Learning Approach about Finite State Machines Using the Example of Stock Trading - The Stock Trading Game FSTG

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Matthias Utesch, Andreas Hauer, Robert Heininger, Helmut Krcmar
Nicht-TUM Koautoren:
nein
Kooperation:
-
Seitenangaben Beitrag:
360-374
Abstract:
This paper presents an IT-based learning approach to both theory and application of Finite State Machines (FSM). We determined the most important learning objectives about FSMs, described them according to the taxonomy of Bloom and Krathwohl, and implemented them as a serious game called ‘Finite State Trading Game’ (FSTG). Our approach was verified based on a lesson that was conducted at the Technical University of Munich with upper vocational school students. The results indicate...     »
Stichworte:
IT - based learning · serious games · Finite State Machine · stock trading · Bloom ́s taxonomy for learning objectives
Intellectual Contribution:
Learning and Pedagogical Research
Kongress- / Buchtitel:
19th International Conference on Interactive Collaborative Learning (ICL2016)
Kongress / Zusatzinformationen:
Belfast, UK
Jahr:
2016
Monat:
Sep
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
commissioned:
not commissioned
Interdisziplinarität:
Nein
Leitbild:
;
Ethics und Sustainability:
Nein
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