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Cited by 620

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Proceedings of the 19th ACM international conference on Information and knowledge management

·2010

Abstract

In the educational framework, knowledge assessment is a critical component, and quizzes (sets of questions with concise answers) are a popular tool for this purpose.This paper focuses on the generation of balanced quizzes, i.e., quizzes that relate to a given set of documents, and to the central concepts described by the documents, in an evenly distributed manner.Our approach leverages a graph representing the relationships between questions, documents, and concepts, and phrases quiz construction as a node selection problem in this graph.We provide algorithms for constructing the graph and for selecting a good set of quiz questions.In our concrete implementation, we build quizzes for a collection of Wikipedia articles and evaluate them both with simulated students and with real human quiz takers, finding that our balanced quizzes are better suited at determining which articles the user has not read (corresponding to their knowledge gaps) than reasonable baselines.

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Metadata

Publisher
ACM
Published
2010-10-26
OpenAlex
W4252566574
Cited by
620
References
10
Type
paratext
Language
en
Open access
closed

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CoChat. (2026). Citation check: Proceedings of the 19th ACM international conference on Information and knowledge management. https://app.cochat.ai/papers/10.1145/1871437
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Proceedings of the 19th ACM international conference on Information and knowledge management. (2010). https://doi.org/10.1145/1871437

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.