In coaching with the purpose of creating a document in mind, data containing question group related to components of the document, a question of details, and a question of another topic is included, an increase/decrease of information amount of the answers of the writer is estimated from a writer's past answers and a current answer, and a next question is selected based on the estimation result.

Provided are a device and method for recommending educational content. The method includes acquiring a target user's learning data which includes log data including question data related to a question previously answered by the target user and answer data related to the target user's answer to the question, acquiring a question database including at least one candidate question, calculating the target user's predicted correct answer rate information for the candidate question on the basis of the candidate question and the learning data, acquiring the target user's ability information related to at least some of the log data, and determining recommendation content on the basis of the target user's ability information.

Provided are a device and method for recommending educational content. The method includes acquiring a target user's learning data which includes log data including question data related to a question previously answered by the target user and answer data related to the target user's answer to the question, acquiring a question database including at least one candidate question, calculating the target user's predicted correct answer rate information for the candidate question on the basis of the candidate question and the learning data, acquiring the target user's ability information related to at least some of the log data, and determining recommendation content on the basis of the target user's ability information.

A method for providing a coaching service based on a handwriting input and a server therefor are disclosed. The method includes receiving handwriting input information of a learner from a learner interface, detecting a behavioral pattern of the learner based on the handwriting input information and information on a learning item which the learner performs learning, determining whether there is an abnormality in the behavioral pattern, and obtaining a feedback based on a determination result about the abnormality.

A method for providing a coaching service based on a handwriting input and a server therefor are disclosed. The method includes receiving handwriting input information of a learner from a learner interface, detecting a behavioral pattern of the learner based on the handwriting input information and information on a learning item which the learner performs learning, determining whether there is an abnormality in the behavioral pattern, and obtaining a feedback based on a determination result about the abnormality.

An information processing apparatus includes a processor configured to select a teaching material related to a lesson from an answer to a questionnaire of the lesson in which the answer is written, and create a report associated with the selected teaching material.

An information processing apparatus includes a processor configured to select a teaching material related to a lesson from an answer to a questionnaire of the lesson in which the answer is written, and create a report associated with the selected teaching material.

A skills learning method for a student gathers objective data relating to the student in response to various stimuli, and produces a predicted feedback units as a function of the objective data using a machine learning-base classifier. The method can include training a neural network using objective data of student interactions and associated subjective assessments of a skill of each objective data. The method includes receiving a new dataset with objective data of a new student and an associated subjective assessment of a skill of the first student represented by the new objective data. A predicted assessment of the skill of the new objective data is calculated by inputting the new objective data into the neural network. The method can include updating the neural network by combining the initial dataset and the new dataset and recompiling the neural network to fit the model dataset based on a learning algorithm.

A skills learning method for a student gathers objective data relating to the student in response to various stimuli, and produces a predicted feedback units as a function of the objective data using a machine learning-base classifier. The method can include training a neural network using objective data of student interactions and associated subjective assessments of a skill of each objective data. The method includes receiving a new dataset with objective data of a new student and an associated subjective assessment of a skill of the first student represented by the new objective data. A predicted assessment of the skill of the new objective data is calculated by inputting the new objective data into the neural network. The method can include updating the neural network by combining the initial dataset and the new dataset and recompiling the neural network to fit the model dataset based on a learning algorithm.

Techniques are provided for machine learning-based educational content adaptation based on user personal characteristics. One method comprises obtaining personal characteristics of at least one user; applying the personal characteristics of the at least one user to at least one machine learning model to automatically adapt at least one educational content item for the at least one user using one or more of the applied personal characteristics of the at least one user; and initiating a provision of the at least one automatically adapted educational content item to the at least one user. Technology-related characteristics of the at least one user may also be applied to the at least one machine learning model to further adapt the at least one educational content item for the at least one user using the applied technology-related characteristics.