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.

A colored lighting system with a scheme to indicate the nature of a student's participation action. Students are outfitted with desktop-mounted lights, preferably capable of emitting numerous colors in a serial fashion. The teacher can then read the indicated color pattern, or light from an individual student, and select whether to interrupt and in what order to address each student. The method may be used for lecture, testing, in-class projects, and beyond.

A colored lighting system with a scheme to indicate the nature of a student's participation action. Students are outfitted with desktop-mounted lights, preferably capable of emitting numerous colors in a serial fashion. The teacher can then read the indicated color pattern, or light from an individual student, and select whether to interrupt and in what order to address each student. The method may be used for lecture, testing, in-class projects, and beyond.

A secure education system including a secure education application, an education content database and a student profile database having a plurality of student profiles that include identification data that identifies a person associated with the student profile and evaluation data that valuates an academic proficiency of the person. The application both providing and dynamically adjusting the educational content based on an associated student profile of a user as well as securely determining the identity of the user in order to validate interactions of the user with the educational content. The verified identity and academic proficiency of a person can be compiled into an academic profile and submitted to academic institutions to support the user as a candidate for admissions.

A secure education system including a secure education application, an education content database and a student profile database having a plurality of student profiles that include identification data that identifies a person associated with the student profile and evaluation data that valuates an academic proficiency of the person. The application both providing and dynamically adjusting the educational content based on an associated student profile of a user as well as securely determining the identity of the user in order to validate interactions of the user with the educational content. The verified identity and academic proficiency of a person can be compiled into an academic profile and submitted to academic institutions to support the user as a candidate for admissions.

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.

This disclosure relates generally to a method and system for securely conducting a digital examination. The present disclosure uploads the question papers, OMR bubble sheet and question paper's color information specific to an examination to a server wherein it is encrypted, zipped into a bundle wherein a unique key is generated. The encrypted bundle is downloaded, decrypted and unzipped on an electronic device using the user provided key wherein the invigilator adds the required details and encrypt again. The encrypted bundle is distributed to the candidate device through the paper distribution adhoc protocol. The candidate downloads, unzip and decrypts the encrypted bundle on the candidate device and provides the response to the question paper. The candidate's responses are evaluated, and result is declared locally if the candidate device is configured with a master key or uploaded to the server for further processing.

This disclosure relates generally to a method and system for securely conducting a digital examination. The present disclosure uploads the question papers, OMR bubble sheet and question paper's color information specific to an examination to a server wherein it is encrypted, zipped into a bundle wherein a unique key is generated. The encrypted bundle is downloaded, decrypted and unzipped on an electronic device using the user provided key wherein the invigilator adds the required details and encrypt again. The encrypted bundle is distributed to the candidate device through the paper distribution adhoc protocol. The candidate downloads, unzip and decrypts the encrypted bundle on the candidate device and provides the response to the question paper. The candidate's responses are evaluated, and result is declared locally if the candidate device is configured with a master key or uploaded to the server for further processing.

An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.