A system for managing innovation challenges includes a computing apparatus having a processor and a memory with computer readable program code, wherein the processor under control of the computer readable program code is configured to implement, a content management system that operates to automatically generate an innovation challenge for students based on a common template that includes student eligibility requirements, a user management system that operates to collect user information, obtains parental or guardian consent, and determines individual student eligibility for specific innovation challenges, a submission management system that operates to automate ingestion, display, storage, and judging of challenge entry submissions, and a dashboard display that operates to manage innovation challenge participation.

A system for managing innovation challenges includes a computing apparatus having a processor and a memory with computer readable program code, wherein the processor under control of the computer readable program code is configured to implement, a content management system that operates to automatically generate an innovation challenge for students based on a common template that includes student eligibility requirements, a user management system that operates to collect user information, obtains parental or guardian consent, and determines individual student eligibility for specific innovation challenges, a submission management system that operates to automate ingestion, display, storage, and judging of challenge entry submissions, and a dashboard display that operates to manage innovation challenge participation.

Proposed is a training, education and/or advertising system for complex machinery in mixed reality (MR) using metaverse. The system includes a simulation execution unit configured to perform three-dimensional (3D) simulations by providing a digital twin for performing simulations on a specific visual component for the maintenance training, education and/or advertising through smart glasses, a training unit configured to provide artificial intelligence (AI) knowledge based on training information comprising two-dimensional (2D) manuals, task instructions of the 2D manuals, and a simulation cost model (SCM), and a neuro-symbolic speech executor (NSSE) configured to perform a neural network task and symbolic reasoning for processing a speech request in order to perform the 3D simulations based on the provided AI knowledge and the digital twin and to notify a user of the processing and completion of the requested task by transmitting visual and speech feedback to the user.

Disclosed herein is an interaction monitoring system, comprising an environment collection module, interaction monitoring module, interaction segmentation module, and display module. The environment collection module detects surrounding environment and generates a data stream. The interaction monitoring module generates a feature data stream by extracting feature value of the data stream. The interaction segmentation module determines a target situation, which indicates a user's state or condition, from the feature data stream and generates a target image or video stream, which indicates the target situation. The display module displays the target image. Other embodiments are described and shown.

A system for improving cognitive ability includes a content providing module configured to provide a cognitive ability improving content; an input module configured to receive learning data of the user for the cognitive ability improving content; an analyzing module configured to calculate performance information of each of a plurality of cognitive areas based on the learning data; and a machine learning module configured to store a learning result by machine learning using a preset training data set and determine a characteristic of a cognitive ability improving content to be provided to a user by using the performance information of each of the plurality of cognitive areas and the learning result. According to the system for improving cognitive ability, it is possible to provide a content in the form of a comprehensive program including multi-area intervention important for dementia prevention and perform a customized dementia prevention function by reflecting individual characteristics.

A method of targeted program transmission is provided. The method includes receiving participant data, where the participant data includes profile data and interaction data specific to the participant and making a comparison of the interaction data with an interaction threshold. Some embodiments include determining whether the participant satisfies the interaction threshold with a first programming in a first format with a first supervision level, and predicting a likelihood of the participant satisfying an additional interaction threshold associated with a second programming in a second format. In response to determining that the likelihood of the participant satisfying the additional interaction threshold exceeds a predetermined likelihood threshold, embodiments may identify the second programming in the second format for transmission to a participant device, the second format corresponding to a second supervision level that is lower than the first supervision level, and transmit data related to the second programming in the second format.

Methods, techniques, apparatuses, and systems for setting up and tracking sleep consistency goals of users are provided. In one example, a computing system for setting a sleep schedule of a user of a biometric monitoring device may obtain sleep data derived from sensor data generated by the biometric monitoring device, store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, and calculate a target bedtime based on a scheduled waketime of the user and a sleep efficiency derived, at least in part, from the sleep data for one or more users stored in the sleep log data store. The computing system may also be configured to provide a number of personalized user interfaces to an individual for the purposes of setting a sleep schedule. Such interfaces may include parameters that are tailored to the individual sleep needs and/or characteristics of the individual's sleep.

Methods, techniques, apparatuses, and systems for setting up and tracking sleep consistency goals of users are provided. In one example, a computing system for setting a sleep schedule of a user of a biometric monitoring device may obtain sleep data derived from sensor data generated by the biometric monitoring device, store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, and calculate a target bedtime based on a scheduled waketime of the user and a sleep efficiency derived, at least in part, from the sleep data for one or more users stored in the sleep log data store. The computing system may also be configured to provide a number of personalized user interfaces to an individual for the purposes of setting a sleep schedule. Such interfaces may include parameters that are tailored to the individual sleep needs and/or characteristics of the individual's sleep.

Various embodiments of the present disclosure are directed to improved systems, apparatuses, methods, and computer program products for management, transfer, and traceability of node content between semi-autonomous nodes communicable with a hub node configured to register user nodes and facilitate communications between the registered user nodes. An apparatus may be configured to receive a hub registration request from a first user node, register the first user node, receiving a second hub registration request from a second user node, register the second user node, receive a node connection request, transmit the node connection request to the second user node, receive a node connection response from the second user node, transmit the node connection response to the first user node, generate a node connection report based on the node connection request, the node connection response, or a combination thereof, and cause storing of the node connection report in a ledger.

A social electronic learning system, including a plurality of computing devices for communicating with a plurality of users in an educational community, and at least one server in communication with each of the plurality of computing devices, each server in communication with at least one data storage device configured to host a plurality of electronic portfolios, each electronic portfolio associated with one or more users of the plurality of users in the educational community, wherein each server is configured such that one or more users may associate one or more digital items with each electronic portfolio, and the plurality of users may take actions on the digital items in each electronic portfolio depending on authorization criteria.