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

Bor-de Vries, Marieke; Drijvers, Paul GND; Boon, Peter; Tacoma, Sietske; Heeren, Bastiaan; Jeuring, Johan; Steenbergen, Niels; Sosnovsky, Sergey; van Zon, Wink; Koops, Jesse; Weinberger, Armin GND; Kolling, Allison; Grugeon-Allys, Brigitte; Chenevotot-Quentin, Françoise; Toussaint, Ben-Manson

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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Bor-de Vries, M., Drijvers, P., Boon, P., Tacoma, S., Heeren, B., Jeuring, J., Steenbergen, N., Sosnovsky, S., van Zon, W., Koops, J., Weinberger, A., Kolling, A., Grugeon-Allys, B., Chenevotot-Quentin, F., Toussaint, B.-M., 2020. Student models to generate automated feedback on intermediate steps in solving mathematical problems. Proceedings of the 14th International Conference on Technology in Mathematics Teaching – ICTMT 14. https://doi.org/10.17185/duepublico/70759
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