Question optimisation: building quiz bowl tournament sets Online publication date: Mon, 04-Nov-2024
by Kara L. Combs; Trevor J. Bihl
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 16, No. 4, 2024
Abstract: Quiz bowl is an activity in which players test their knowledge against others in tournaments. Quiz bowl set organisation is a lengthy and involved process involving many expectations related to the set's content and quality. Current techniques to address question placement rely on lengthy, manually-edited databases, if any. Ensuring a set meets all expectations is vital to producing a high-quality set that is suitable for competition. We propose a repeatable methodology for optimising question placement implemented in both Python and Excel to be compared to the traditional manual method. On the initial data, the baseline manually-produced set was matched qualitatively by the other methods, which also had repeatability, traceability, and reduction of time spent. These results were furthermore supported by a three-way comparison of a portion of the real-world 2022 state competition questions by the Head Editor, who recommended the Python version for future use.
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