A computerized system enables teachers and students to collaborate in the solutions of STEM problems. The system includes a communications network linking a teacher computer, one or more student computers, and at least one computer-readable storage medium. Each of the computers includes an input device for receiving input via the input device and a screen for displaying the input. The computers are operatively linked and each of their screens forms a virtual shared whiteboard defining a common work page upon which input from each computer is received and displayed. Input received from each computer interacts mathematically with input received from each other computer in the network and the interactions are displayed on each screen. The input and interactions form a collaborative solution to STEM problems. When prompted, the storage medium records and plays back the solutions to the STEM problems on each screen for subsequent assessment of student performance.

System for use in testing includes a frame positionable on a person's head, a display section, and a combiner arranged at least partly in front of the eyes of the person and which allows simultaneous viewing of an environment in front of the person and content on the display section, e.g., test questions. A crossview camera system images from locations on each lateral side of the frame toward the opposite lateral side and below the combiner. An iris camera system images the eyes of the person. A forward-looking camera system images an area in front of the frame. A processor analyze images obtained by the crossview camera system to determine presence of imaging devices, images obtained by the iris camera system to determine position of irises of the person and optionally imaging devices, and images obtained by the forward-looking camera system to determine presence of specific objects.

System for use in testing includes a frame positionable on a person's head, a display section, and a combiner arranged at least partly in front of the eyes of the person and which allows simultaneous viewing of an environment in front of the person and content on the display section, e.g., test questions. A crossview camera system images from locations on each lateral side of the frame toward the opposite lateral side and below the combiner. An iris camera system images the eyes of the person. A forward-looking camera system images an area in front of the frame. A processor analyze images obtained by the crossview camera system to determine presence of imaging devices, images obtained by the iris camera system to determine position of irises of the person and optionally imaging devices, and images obtained by the forward-looking camera system to determine presence of specific objects.

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.

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.

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.

Systems and methods for automatic generation of a content presentation plan are disclosed herein. The method can include receiving content identification information, retrieving objective information for the one or several objectives identified for inclusion in a content presentation plan, identifying at least one prerequisite skill for completion of at least one of the one or several objectives, generating at least one remediation question configured to delineate between users having mastery of the at least one prerequisite skill and users not having mastery of the at least one prerequisite skill, pre-selecting remedial content for providing to users identified as not having mastery of the at least one prerequisite skill, selecting objective content corresponding to the at least one objectives, and creating a content presentation plan containing the at least one remediation question, the remedial content, and the objective content.

Systems and methods for automatic generation of a content presentation plan are disclosed herein. The method can include receiving content identification information, retrieving objective information for the one or several objectives identified for inclusion in a content presentation plan, identifying at least one prerequisite skill for completion of at least one of the one or several objectives, generating at least one remediation question configured to delineate between users having mastery of the at least one prerequisite skill and users not having mastery of the at least one prerequisite skill, pre-selecting remedial content for providing to users identified as not having mastery of the at least one prerequisite skill, selecting objective content corresponding to the at least one objectives, and creating a content presentation plan containing the at least one remediation question, the remedial content, and the objective content.

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.