Abstract: An academic ability estimation model generation device to generate an academic ability estimation model with which current academic ability is accurately estimated without requiring comprehensive learning data. The academic ability estimation model generation device includes a decision tree generator that generates a decision tree by using correct/incorrect-answer information as teacher data, the correct/incorrect-answer information indicating that a plurality of answerers who have answered a question group consisting of a plurality of predetermined questions have answered each question correctly or incorrectly; a pruner that deletes a leaf node when an entropy of a classification result indicated by the leaf node being a terminal end of the decision tree which is generated is equal to or lower than a predetermined value. Further, there is a category generator that sets each new terminal end of the decision tree after deleting the leaf node as a category to which any of the answerers belongs.

Abstract: An advice data generation device that is capable of generating advice data on how to write answers is provided. The advice data generation device includes: a time classification unit that classifies a time interval during which stroke data is present, in a predetermined time range defined as answering time, as an entering time interval based on the stroke data that is vector data of a coordinate of a trajectory of handwriting input and time, the handwriting input being performed by a user with respect to a predetermined electronic answer field to put an answer for a question; a time comparison unit that compares a length of each entering time interval of another user for each question with a length of each entering time interval of a target user for each question; and an advice generation unit that generates advice data representing a comparison result.

Abstract: A learning effect estimation apparatus includes a model storage memory storing a model that takes learning data as input, the learning data being data on learning results of users and being assigned with categories for different learning purposes. There is a correct answer probability generation unit that inputs the learning data to the model to generate the correct answer probability of each of the categories; a correct answer probability database that accumulates time-series data of the correct answer probability for each of the users; and a comprehension and reliability generation unit that acquires range data, the range data being data specifying a range of categories for estimating a learning effect for a specific user, and generates a comprehension.

Abstract: With respect to educational assistance methods using user terminals such as tablets and the like, the invention assists users with learning and utilizing connections between a plurality of knowledge items. Disclosed is an assistance device for: storing knowledge items learnt by a user; determining whether there exist common characteristics between knowledge items learnt newly by the user and at least one of the knowledge items already learnt by the user; and responsive to the existence of common characteristics, causing the user's terminal to present the existence of the characteristics.