Knowledge Tracing to Model Learning in Online Citizen Science Projects

Publication Type:

Journal Article




We present the design of a citizen science system that uses machine learning to guide the presentation of image classification tasks to newcomers to help them more quickly learn how to do the task while still contributing to the work of the project. A Bayesian model for tracking volunteer learning in this context is presented and fit to data from 10,804 volunteer contributors. The model can be used both to estimate the ability of volunteers and to decide the classification of an image.

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