In a system for monitoring and assessing subject response to programmed physical training, a client application provides an intake form, into which subject information, such as contact information, demographics and history may be entered. At least part of the subject information may be stored in a central repository for aggregation with other subject data, for analysis and reporting. Parameterized descriptions of exercises produce a binary string for each exercise, the resulting in a binary map of an entire exercise system, such as the PILATES system. Using a digital session planner, a practitioner selects from filtered lists of exercises to generate a customized exercise sequence for a subject. After the training session, the binary strings for the session are aggregated and a summary of the session displayed for user and/or practitioner. Session data may be uploaded to the repository for aggregation with data from other subjects/session for analysis and reporting.

An information providing system 100 of the present invention includes a question/answer unit 121 that, in response to a question sentence input by a user, outputs, to the user, candidate question sentences corresponding to the question sentence, a detection unit 122 that detects behavior of the user with respect to the candidate question sentences, and an evaluation unit 123 that evaluates the candidate question sentences with respect to the question sentence according to the behavior.

An information providing system 100 of the present invention includes a question/answer unit 121 that, in response to a question sentence input by a user, outputs, to the user, candidate question sentences corresponding to the question sentence, a detection unit 122 that detects behavior of the user with respect to the candidate question sentences, and an evaluation unit 123 that evaluates the candidate question sentences with respect to the question sentence according to the behavior.

The invention discloses a social networking system which includes a main data processing apparatus, a plurality of smart clothing apparatus and a plurality of sub-data-processing apparatuses. Each smart clothing apparatus includes a light-emitting device assembly. Each sub-data-processing apparatus corresponds to one of the smart clothing apparatuses. The main data processing apparatus transmits an inquiry information to each sub-data-processing apparatus. The inquiry information includes a plurality of selection data and a plurality of light color data. Each selection datum corresponds to one of the light color data. Each sub-data-processing apparatus receives the inquiry information, displays the plurality of selection data, and transmits, responsive to a selection signal corresponding to one of the selection data, the light color datum corresponding to said one selection datum to the corresponding smart clothing apparatus. The corresponding smart clothing apparatus drives the light-emitting device assembly thereof to emit at least one color light in accordance with the received light color datum.

The invention discloses a social networking system which includes a main data processing apparatus, a plurality of smart clothing apparatus and a plurality of sub-data-processing apparatuses. Each smart clothing apparatus includes a light-emitting device assembly. Each sub-data-processing apparatus corresponds to one of the smart clothing apparatuses. The main data processing apparatus transmits an inquiry information to each sub-data-processing apparatus. The inquiry information includes a plurality of selection data and a plurality of light color data. Each selection datum corresponds to one of the light color data. Each sub-data-processing apparatus receives the inquiry information, displays the plurality of selection data, and transmits, responsive to a selection signal corresponding to one of the selection data, the light color datum corresponding to said one selection datum to the corresponding smart clothing apparatus. The corresponding smart clothing apparatus drives the light-emitting device assembly thereof to emit at least one color light in accordance with the received light color datum.

Systems and methods for automatic generating of a Bayes net content graph are disclosed herein. The system can include a memory including a mapping matrix. The system can include at least one server. The at least one server can generate a user matrix having n columns and p rows. In some aspects, each of the n columns is associated with a student and each of the p rows is associated with a content item. The at least one server can: store the user matrix in the memory; retrieve the mapping matrix from the memory; iteratively identify prerequisite relationships between the skills identified in the user matrix; generate edges between the skills in the user matrix based on the iteratively identified prerequisite relationships; and orient the edges between the skill.

Systems and methods for automatic generating of a Bayes net content graph are disclosed herein. The system can include a memory including a mapping matrix. The system can include at least one server. The at least one server can generate a user matrix having n columns and p rows. In some aspects, each of the n columns is associated with a student and each of the p rows is associated with a content item. The at least one server can: store the user matrix in the memory; retrieve the mapping matrix from the memory; iteratively identify prerequisite relationships between the skills identified in the user matrix; generate edges between the skills in the user matrix based on the iteratively identified prerequisite relationships; and orient the edges between the skill.

Learning systems and methods of the present disclosure include generating a text document based on a digital file, tokenizing the text document, generating a semantic model based on the tokenized text document using an unsupervised machine learning algorithm, assigning a plurality of passage scores to a corresponding plurality of passages of the tokenized text document, selecting one or more candidate knowledge items from the tokenized text document based on the plurality of passage scores, filtering the one or more candidate knowledge items based on user data, generating one or more structured learning assets based on the one or more filtered candidate knowledge items, generating an interaction based at least on the one or more structured learning assets, and transmitting the interaction to a user device. Each passage score is assigned based on a relationship between a corresponding passage and the semantic model.

Learning systems and methods of the present disclosure include generating a text document based on a digital file, tokenizing the text document, generating a semantic model based on the tokenized text document using an unsupervised machine learning algorithm, assigning a plurality of passage scores to a corresponding plurality of passages of the tokenized text document, selecting one or more candidate knowledge items from the tokenized text document based on the plurality of passage scores, filtering the one or more candidate knowledge items based on user data, generating one or more structured learning assets based on the one or more filtered candidate knowledge items, generating an interaction based at least on the one or more structured learning assets, and transmitting the interaction to a user device. Each passage score is assigned based on a relationship between a corresponding passage and the semantic model.

A method, system and computer readable medium for interactive learning between computing devices interconnected across a network with a server includes at least one guide operable computing device that communicates with student operable computing devices. During a learning session, the processor of the student operable computing device generates a student interface displaying a question from a library and captures an answer input thereto during a learning session. The processor of the guide operable computing device generates an interface displaying one or more questions; any associated possible answers and notes thereon and for displaying the answer input from the student operable computing device. The processor of the at least one guide operable computing device captures input on said student answer input via the interface for transmission across the network to the student operable computing device for display during the session.