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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2467

Title: A Bayesian Model for Learning Using Flashcards
Authors: Valkov, Venelin
Keywords: spacing effect
multi-armed bandit
Thompson sampling
Bayesian learning
Issue Date: 28-May-2015
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences, Association for the Development of the Information Society
Citation: Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2015, 175p-179p
Series/Report no.: ADIS;2015
Abstract: Memorising large amounts of unstructured information and vocabulary is required when studying foreign language, law, biology and medicine. Distributed over time review sessions benefit the long-term retention more than massed practice when studying such material. Flashcard learning using spaced repetition is one implementation of the distributed technique. This paper proposes a Bayesian bandit algorithm which tries to maximise the number of presented flashcards that the user is going to guess wrong in a study session. The suggested model is implemented in a mobile application.
Description: Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2015
URI: http://hdl.handle.net/10525/2467
ISSN: 1314-0752
Appears in Collections:ADIS 2015

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