An information processing system comprising a processor programmed to: receive a question asked by a questioner, an answer provided by an answerer to the question, and a rating by a rater with respect to at least one of the question and the answer; manage relationship information, the relationship information being related to the questioner, the answerer, and the rating by the rater; acquire attribute information about each of the questioner, the answerer, and the rater; and present rating information based on the relationship information and in response to a condition specified by a requester with respect to the attribute information.

Embodiments of the present disclosure provide a method and apparatus for recommending a test question, and an intelligent device. The method includes: acquiring a plurality of skill entities of a post; calculating, according to the data of the post, a weight value of each of the plurality of skill entities; and acquiring, according to the weight value of each skill entity, a recommended test question of the post from a question bank.

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.

A method of managing an interaction of a student with a class about a subject, the subject having at least one lesson having at least one topic, the topic having at least one of exposition content, demonstration content and test content, the test content having a query and a scheme for mapping a response to a result, comprising: presenting content to the student and storing the interaction of the student with the content presented.

A method of managing an interaction of a student with a class about a subject, the subject having at least one lesson having at least one topic, the topic having at least one of exposition content, demonstration content and test content, the test content having a query and a scheme for mapping a response to a result, comprising: presenting content to the student and storing the interaction of the student with the content presented.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

According to techniques and systems disclosed herein a pre-assessment profile may be generated for a learner based on a designated activity. The pre-assessment profile may be based on evaluating learner provided inputs or responses to one or more inquiries. A designated activity may be received and a plurality of activity steps to perform the designated activity may be generated and may be based on the pre-assessment profile. A media type may be identified for each activity step of the plurality of activity steps based on the pre-assessment profile for the learner, and may be provided to the learner. A learner's ability to perform the designated activity may be determined, based on applicable feedback information. According to techniques disclosed herein, a trigger event may be learned during learning mode and may include trigger event surrounding data for a behavioral attribute. A response may be generated based on detecting the trigger event.

A method and system comprising an adaptive learning platform having a backend component for managing 3D lessons for display on an interface of a user device. A 3D lesson comprises a plurality of scenarios with choices which lead to a next scenario of the 3D lesson. A learner after completing the 3D lesson can analyze results of a completed 3D lesson using an analyzer unit of the adaptive learning platform. In addition, the platform also recommends other 3D lessons based on analytics performed on the learner user's results.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for developing cognitive and behavioral metrics associated with a user. In some implementations, a system obtains data from a writing implement, the data indicative of a user performing a task by writing with the writing implement against a receiving device. The system extracts features from the obtained data. The system determines metrics that reflect characteristics of the user, the metrics that reflect cognitive characteristics of the user and metrics that reflect behavioral characteristics of the user. Based on the extracted features and the determined metrics, the system generates a user profile for the user. Based on the features indicating characteristics of the writing behavior of the user, the system modifies the generated user profile as a performance of the user changes over time. The system provides recommendations to improve the performance of the user.