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.

Aspects of the disclosure relate to measuring user-specific fraud-susceptibility behavioral scores and dynamically generating customized cybersecurity training modules using fraud-susceptibility behavioral scores. A computing platform may generate a fraud-susceptibility personality survey and send the fraud-susceptibility personality survey to an enterprise user device. Subsequently, the computing platform may receive information indicating how a user of the enterprise user device responded to the fraud-susceptibility personality survey, calculate a fraud-susceptibility behavioral psychology score for the user based on the user information, and identify a user-specific predicted failure rate on one or more cybersecurity training modules based on the fraud-susceptibility behavioral psychology score. Based on the user-specific predicted failure rate and using a behavioral psychology training module, the computing platform may generate, and send to the enterprise user device, a dynamically adapted cybersecurity training template, which causes the enterprise user device to display one or more customized cybersecurity training modules.

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.

Method, apparatus and computer program for providing a personalized study plan to a learner through cognitive and behavioral diagnosis of the learner. A learner who uses a data input device such as a smart pen and a stylus pen by using data obtained from the data input device. The method, apparatus and computer program relate to technology for obtaining input data based on information inputted by a user for at least one question with the data input device, creating test behavior data on the user from the obtained input data, analyzing cognition and behavior of the user based on at least one of metadata on the at least one question and the created test behavior data, and providing a personalized study plan to the user through an algorithm using machine learning based on the cognition and behavior analysis.

Method, apparatus and computer program for providing a personalized study plan to a learner through cognitive and behavioral diagnosis of the learner. A learner who uses a data input device such as a smart pen and a stylus pen by using data obtained from the data input device. The method, apparatus and computer program relate to technology for obtaining input data based on information inputted by a user for at least one question with the data input device, creating test behavior data on the user from the obtained input data, analyzing cognition and behavior of the user based on at least one of metadata on the at least one question and the created test behavior data, and providing a personalized study plan to the user through an algorithm using machine learning based on the cognition and behavior analysis.

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.

A system that providing an interactive means for one or more team members to learn about and better-react to opponents in upcoming games is provided. The system operates by repeatedly running drill sessions having a dynamic difficulty, where the difficulty is automatically set, based on the success of the player performing the drill session, and other characteristic about the player.

A system that providing an interactive means for one or more team members to learn about and better-react to opponents in upcoming games is provided. The system operates by repeatedly running drill sessions having a dynamic difficulty, where the difficulty is automatically set, based on the success of the player performing the drill session, and other characteristic about the player.