Selecting an instructional video is provided. It is determined that a query is requesting information on how to perform a procedure. A set of instructional videos are accessed corresponding to the information on how to perform the procedure. Information regarding a user of a client device that submitted the query is retrieved from at least one of a set of databases and a set of monitoring devices located on the user via a network. Physiological changes are predicted in the user's current cognitive state based on the information regarding the user retrieved from the set of databases and the set of monitoring devices. An instructional video is selected in the set of instructional videos corresponding to the information on how to perform the procedure based on the user's current cognitive state indicated in the retrieved information regarding the user of the client device.

Techniques are described for providing educational media content. According to an embodiment, a system for providing, by a processor, educational media content items based on a determined context of a vehicle or driver of the vehicle is described. The system can comprise a context component that can determine a context of a vehicle or a driver of the vehicle, with the context component employing at least one of artificial intelligence or machine learning to facilitate inferring intent of the driver. The system can comprise a vehicle education component that can perform a utility-based analysis in connection with selecting a media content item relating to a feature of the vehicle based on the determined context, the inferred driver intent and the utility-based analysis. Further, the system can comprise a media component that can output the selected media content item.

Techniques are described for providing educational media content. According to an embodiment, a system for providing, by a processor, educational media content items based on a determined context of a vehicle or driver of the vehicle is described. The system can comprise a context component that can determine a context of a vehicle or a driver of the vehicle, with the context component employing at least one of artificial intelligence or machine learning to facilitate inferring intent of the driver. The system can comprise a vehicle education component that can perform a utility-based analysis in connection with selecting a media content item relating to a feature of the vehicle based on the determined context, the inferred driver intent and the utility-based analysis. Further, the system can comprise a media component that can output the selected media content item.

Methods and systems to improve coupling and cohesion of at least one educational program are provided. In some examples, the methods and systems include at least one educational program, where the at least one educational program comprises a first application programming interface (API) that is configured to be coupled to a second API of an internet enabled electronic device in a restricted state and partially decoupled in an unrestricted state.

Methods and systems to improve coupling and cohesion of at least one educational program are provided. In some examples, the methods and systems include at least one educational program, where the at least one educational program comprises a first application programming interface (API) that is configured to be coupled to a second API of an internet enabled electronic device in a restricted state and partially decoupled in an unrestricted state.

Tagged driving events may be generated during a driving session from sensor data collected via one or more sensors and/or entered by an instructor. The tagged driving events may include a description of each driving event and its associated severity or weight as it relates to a scoring process as well as a time and/or a location of the driving event. A driving session report may be generated using the tagged driving events and may include a driver feedback score that is weighted based on the severity associated with each of the tagged driving events and/or the collected data, a map of the driving session route that indicates a map location of each tagged driving event, and/or a listing of each tagged driving event. The driving session report may be displayed such that a user may select a tagged driving event to view information associated with the tagged driving event.

Tagged driving events may be generated during a driving session from sensor data collected via one or more sensors and/or entered by an instructor. The tagged driving events may include a description of each driving event and its associated severity or weight as it relates to a scoring process as well as a time and/or a location of the driving event. A driving session report may be generated using the tagged driving events and may include a driver feedback score that is weighted based on the severity associated with each of the tagged driving events and/or the collected data, a map of the driving session route that indicates a map location of each tagged driving event, and/or a listing of each tagged driving event. The driving session report may be displayed such that a user may select a tagged driving event to view information associated with the tagged driving event.

Proposed are a system and a method for supporting learning, which can increase learning attitudes and efficiency by determining a learning state of a learner by using learner's bio information and face recognition information and providing a feedback of lighting color, incense spray, and music output based on the learning state. The proposed system for supporting learning configures the learning state including a bio state and a learning focus based on the learner's bio information and the face recognition information during learning, and provides, to the learner, at least one feedback of lighting color change, illuminance change, incense spray, and sound source playback in accordance with the learning state.

System, methods and electronic devices aimed at motivating users to perform physical activity are disclosed herein. A user may be presented with a series of physical and cognitive exercises. For example, an exercise may be locked until completion of an unlocked exercise. Performance in each exercise may be tracked to display feedback to a user and track the user's improvement over time. Physical exercises may comprise challenges to move a particular distance or take a particular number of steps. Cognitive exercises comprise techniques test or train the cognitive abilities of the user in: attention, memory, processing speed, logical reasoning, numerical reasoning, spatial reasoning, verbal reasoning, language, and cognitive executive functions. Performance in one exercise may modify the difficulty or parameters of a subsequent exercise. The tracking of user improvement may comprise a progress or reward system such as the increasing of a user's “level” or awarding of “badges.”

A computing device configured to generate a video-based training program for transmission to one or more client computing devices; it has a processor; memory; program code that, when executed by the processor, causes the processor to receive and store a plurality of videos from a training specialist computing device, wherein each of the plurality of videos includes a video identifier; receive training program values; generate a training program from the training program values including permissions to access the one or more videos of the plurality of videos corresponding to the one or more identifiers; retrieve one or more contact values stored in the one or more profile data structures; and transmit the training program to the one or more client computing devices; a method of use thereof.