Student models to generate automated feedback on intermediate steps in solving mathematical problems

Digital technology can help with providing detailed assessment of mathematical competences. We present the Advise-Me project, in which evidence of the level of mastery is collected from free-form input, without restricting user interaction. We discuss the novel components of our approach, such as the use of a domain reasoner and Bayesian networks for open algebra problems, and an upcoming evaluation study in three countries.


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