A quiz bowl is usually an academic competition in which teams of students, typically from high schools or universities, compete by answering questions across a variety of subjects, such as history, science, literature, and current events. The format is often fast-paced, with teams buzzing in to answer questions posed by the moderator. Correct answers earn points, and the team with the most points at the end of the game wins. These tournaments can vary in size, but usually involve multiple rounds heading towards a grand final. Readers in the US and elsewhere will be familiar with College Bowl, a televised tournament and its spinoffs, such as the UK’s, University Challenge.
Organizing a quiz bowl tournament is no small feat. While the players compete in fast-paced intellectual battles, behind the scenes, the real work lies in preparing and fact-checking the questions. Traditionally, this has been a painstakingly manual task, requiring hours of work to ensure that questions are arranged in a balanced, fair, and engaging manner. However, research in the International Journal of Data Analysis Techniques and Strategies has demonstrated how technology might offer a more efficient but just as effective approach to the challenge.
Kara L. Combs and Trevor J. Bihl of Wright State University, Dayton, Ohio, USA, have devised an approach to automating the organisation of quiz bowl question sets that uses optimisation techniques to reduce the burden on those responsible for preparing the competitions. The study focuses on applying mathematical models to arrange the questions in a way that meets the key criteria of any tournament: a smooth difficulty curve, thematic balance, and consistency. The team’s approach proves itself a timesaver but could also improve the overall quality and consistency of any quiz bowl competition.
The researchers used the well-known Python programming language to implement their solution. Optimisation algorithms were used to arrange the questions automatically so that the final set for each round of the competitions fits the requirements of a fair, balanced, and entertaining competition. They tested their approach and were able to cut in half the time needed to organise the questions.
Combs, K.L. and Bihl, T.J. (2024) ‘Question optimisation: building quiz bowl tournament sets’, Int. J. Data Analysis Techniques and Strategies, Vol. 16, No. 4, pp.386–409.
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