University of Twente Student Theses


Generation of German narrative probability exercises

Boer Rookhuiszen, Roan (2011) Generation of German narrative probability exercises.

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Abstract:In ongoing research at the department of Research Methodology, Measurement and Data Analysis (faculty GW, University of Twente) and the department of Statistics and Quantitative Methods for Psychology (University of Münster) there is a need for narrative exercises. The departments are jointly developing a model that will be used to support optimal problem and test construction. Therefore, they need a large collection of narrative exercises. Those exercises are used to perform field trials and test the developed models. All of these narrative exercises should be different, but the properties that define the difficulty of the exercise should be known. During earlier research, some exercises were created by hand, one of these exercises is shown in Figure 1.1. The text of the exercise is in German, because field trials were performed with German high school students. All exercises tested the users’ knowledge about statistics. If for further research more exercises have to be designed by hand, it will take a lot of time and effort. It is difficult to make many different exercises and add variation to an exercise without changing the difficulty. In this thesis, we will discuss the development of Genpex, the Generator for Narrative Probability Exercises. This program should be able to construct exercises automatically, similar to the exercises previously designed by the researchers at the University of Münster.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Interaction Technology MSc (60030)
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