Abstract: A method for providing information on a user's concept understanding is provided. The method includes acquiring a set of data on a user's understanding of concepts including a first concept estimated using a concept-specific understanding estimation model that is trained on the basis of concept-specific correctness/incorrectness sequence data, estimating the user's understanding of a second concept not encountered by the user using a matrix factorization algorithm on the concept-specific correctness/incorrectness sequence data represented in a matrix structure with respect to the first concept and the second concept, and visualizing the user's understanding of the first concept included in the acquired data set and the second concept on a device of the user. The concept-specific understanding estimation model is trained such that the concept understanding is estimated by assigning a greater weight to a piece of the concept-specific correctness/incorrectness sequence data generated at a later time point.

Abstract: A method for providing a correctness/incorrectness prediction for a learning question is provided. The method includes the steps of: acquiring a set of data including a user variable determined on the basis of concept-specific correctness/incorrectness sequence data of at least one user, and at least one variable related to a question and a concept associated with the user variable; and calculating a probability that a first user corresponding to a specific user variable correctly answers a first question corresponding to a specific concept, with reference to the data set.

Abstract: A method for providing information on a user's concept understanding is provided. The method includes the steps of: acquiring a set of data on a user's concept understanding estimated using a concept-specific understanding estimation model that is trained on the basis of concept-specific correctness/incorrectness sequence data; and visualizing the user's understanding of at least one of concepts included in the acquired data set.

Abstract: A method for providing information on a user's concept understanding is provided. The method includes the steps of: acquiring a set of data on a user's concept understanding estimated using a concept-specific understanding estimation model that is trained on the basis of concept-specific correctness/incorrectness sequence data; and visualizing the user's understanding of at least one of concepts included in the acquired data set.

Abstract: A method for estimating concept understanding is provided. The method includes the steps of: generating concept-specific correctness/incorrectness sequence data with respect to at least one user, with reference to data on a result of the at least one user solving at least one question associated with at least one concept; and estimating a first user's understanding of a first concept using a concept-specific understanding estimation model that is trained on the basis of the concept-specific correctness/incorrectness sequence data.