An IT-Based Learning Approach About Finite State Machines Using the Example of Stock Trading

Utesch, Matthias; Hauer, Andreas; Heininger, Robert; Krcmar, Helmut

doi:10.1007/978-3-319-50340-0_53

Cited by 3 publications

(17 citation statements)

References 7 publications

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“…a) The basic elements and properties of an FSM are introduced to the students, in combination with the most common representation possibilities [6]. b) By using stock trading as an example, the students should gain knowledge about a real world FSM application and its parallels to automation.…”

Section: The Learning Objectivesmentioning

confidence: 99%

“…They should be able to identify the essential elements and processes of a technical system, and describe their contribution to its overall functionality. The students learn to understand and apply systems as well as to analyze and evaluate them [6].…”

Section: Introductionmentioning

confidence: 99%

“…Traffic lights build on a small number of states and are present everywhere to control traffic in our daily life. A more challenging FSM application would be a stock trading system and its processes of buying and selling shares [6]. A share is traded if the offered share price is equal or lower than the limit price and a potential buyer has the money to invest in the share.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, we developed a stock trading game named 'The Finite State Trading Game' (FSTG) [6]. With FSTG the learners strive to skillfully trade shares in order to beat a Non-Player Character (NPC) through higher profits.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the proposed Serious Game solution should address FSM from scratch. This leads to the following research question [6]:…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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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 categories Basics 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 Machines and its use to create Artificial Intelligence. The learning objectives were determined by using the widely-known Taxonomy of Bloom and integrated into the Serious Game The Finite State Trading Game (FSTG). In this turn-based trading game, the user aims to beat a Non-Player Character by skillfully trading shares while the user faces increasing complexity throughout the game. For the evaluation of the Serious Game approach a pre-test and post-test setting was performed with students of a local upper vocational school class at the Technical University of Munich. The results of the following analysis demonstrated significant progress in terms of the students' knowledge about Finite State Machines for every tested statement.

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Section: The Learning Objectivesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Thus, the proposed Serious Game solution should address FSM from scratch. This leads to the following research question [6]:…”

Section: Introductionmentioning

confidence: 99%