Abstract: The present disclosure addresses unresolved problem of monopoly in content authoring, creation of dependency loop by providing a single, scalable, one-stop knowledge platform offering high degree of customization by multiple users and leveraging emerging technologies for rapid end-to-end game or learning solutions development. Embodiment of the present disclosure provides methods and systems for providing customized game-based learning and assessment framework. The present disclosure provides a mechanism to configure custom content into a readymade learning and assessment platform. The framework proposed in the present disclosure is custom built to support scalable architecture of a modular digital learning platform, and its functionalities. The system of the present disclosure allows content creators to author custom content to create immersive learning experience that could range from Spatial three-dimensional (3D) technologies, Augmented Reality (AR) and Virtual Reality (VR) or games at one place.

Abstract: Aspects of the disclosure relate to dynamically generating simulated attack messages configured for annotation by users as part of cybersecurity training. A computing platform may generate a simulated attack message including a plurality of elements and send the simulated attack message to an enterprise user device. Subsequently, the computing platform may receive, from the enterprise user device, user selections annotating selected elements of the plurality of elements of the simulated attack message. The computing platform may thereafter identify one or more training areas for the user based on the user selections received from the enterprise user device, generate a customized training module specific to the identified one or more training areas, and send the customized training module to the enterprise user device. Sending the customized training module to the enterprise user device may cause the enterprise user device to display the customized training module.

Abstract: A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

Abstract: A method for generating a virtual reality environment includes detecting an illustrative asset that is common to a first set of assets and a second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and a 3-D model of the first set of assets using an illustration approach to produce 3-D frames of a first descriptive asset. The method further includes obtaining an evaluation of the first descriptive asset based on a first assessment response associated with a portrayal of the first descriptive asset. The method further includes modifying the illustration approach based on the evaluation to produce an updated illustration approach. The method further includes rendering the 3-D model of the illustrative asset and a 3-D model of the second set of assets using the updated illustration approach to produce 3-D frames of a second descriptive asset.

Abstract: A method of managing an interaction of a student with a class about a subject, the subject having at least one lesson having at least one topic, the topic having at least one of exposition content, demonstration content and test content, the test content having a query and a scheme for mapping a response to a result, comprising: presenting content to the student and storing the interaction of the student with the content presented.

Abstract: A method for providing learning information is provided. The method includes the steps of: combining achievements of one or more learner groups for a plurality of learning units to derive learning achievement characteristic information of the one or more learner groups; combining achievements of a target learner for the plurality of learning units to derive learning achievement characteristic information of the target learner; comparing the learning achievement characteristic information of the target learner and the learning achievement characteristic information of the one or more learner groups; and providing learning information to the target learner according to a learning path of the one or more learner groups, on the basis of a result of the comparison.

Abstract: A system for encouraging a child to learn to read, comprising a computing device and at least one physical manipulative, wherein the computing device can identify the physical manipulative and display at least one word relating to the physical manipulative. In an embodiment, a letter identification board with letter manipulatives is included, wherein a child can spell out a word on the letter identification board and the computing device shows an animation of the physical manipulative performing the action indicated by the word.

Abstract: A system for aiding a subject development of physical, mental, and/or emotional skills, subject awareness of their mind state, body state, and/or emotional state, and providing subject biofeedback includes subject-internal signal sensing devices wearable by the subject for sensing signals generated internal to the subject's body; subject-external signal sensing devices for sensing signals generated external to the subject's body; a local computing unit configured for authenticated wireless communication with the subject-internal and subject-external signal sensing devices, and presenting particular types of mind state, body state, and emotional state information to the subject, for instance, in the form of biofeedback (e.g.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes issuing a representation of a first set of profile assessment assets of a first learning object to a second computing entity. The method further includes determining a learner profile associated with the second computing entity based on a first assessment response in response to the representation of the first set of profile assessment assets. The method further includes selecting one of the first learning object, a second learning object, and a third learning object as an active learning object based on the learner profile.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes issuing a representation of a first set of physicality assessment assets of a first learning object to a second computing entity. The method further includes obtaining a first assessment response in response to the representation of the first set of physicality assessment assets. The method further includes selecting one of the first learning object, a second learning object, and a third learning object as an active learning object based on the first assessment response.

Abstract: A device for teaching counting binary numbers (base 2) includes a frame having a plurality grooves with sliders deployed within said grooves. The device bears a plurality of zero indicia, each indicia aligned with one of the grooves. Extending from the slider is a label “1” which overlays the corresponding zero indicia when the slider is moved to a first end of the groove to indicate that its value is operative. Each of the sliders are labelled in binary progression (1, 2, 4, 8, 16, etc.). In use, the device can teach the 0's and 1's representation of a decimal base number by correlating the visible 0's and 1's on the device with the sum of the numbers displayed on the sliders. In addition to decimal numbers, the device may also be used to convert binary numbers into hexadecimal numbers and other base systems, and to convert binary numbers into text.

Abstract: A computer-implemented method for determining a quality of driving of a vehicle is presented. Information indicating at least one driving condition may be received from at least one driving condition information indicating device. The at least one driving condition may be different from each of a plurality of driving metrics, and may affect a relationship between the quality of driving and at least one of the plurality of driving metrics. Information indicating the at least one driving metric may be received. At least one indication of the quality of driving of the vehicle may be determined based on the information indicating the at least one driving metric and the received information from the at least one driving condition information indicating device. The at least one indication of the quality of driving may be provided to at least one of the driver, a driving instructor, or an insurance provider.

Abstract: A method for execution by a computing entity to utilize a lesson package in a virtual world environment includes selecting the lesson package based on a learner requirement for a learner to produce a selected lesson package. The method further includes identifying a set of active virtual world environments that each include a different instance of execution of the selected lesson package. The method further includes selecting one active virtual world environment of the set of active virtual world environments based on at least one of the learner requirement and learning assessment results for the selected lesson package to produce a selected virtual world environment. The method further includes rendering updated first descriptive asset video frames of a first descriptive asset and updated second descriptive asset video frames of a second descriptive asset within the selected virtual world environment to produce a new video stream for the learner.

Abstract: According to techniques and systems disclosed herein a pre-assessment profile may be generated for a learner based on a designated activity. The pre-assessment profile may be based on evaluating learner provided inputs or responses to one or more inquiries. A designated activity may be received and a plurality of activity steps to perform the designated activity may be generated and may be based on the pre-assessment profile. A media type may be identified for each activity step of the plurality of activity steps based on the pre-assessment profile for the learner, and may be provided to the learner. A learner's ability to perform the designated activity may be determined, based on applicable feedback information. According to techniques disclosed herein, a trigger event may be learned during learning mode and may include trigger event surrounding data for a behavioral attribute. A response may be generated based on detecting the trigger event.

Abstract: A processor on an industrial vehicle is programmed to identify a metric that characterizes an event associated with an operator of the industrial vehicle, where the metric has a performance parameter to evaluate against the event, and a behavior modification action that defines a desired operator behavior in response to the event. The processor is further operatively programmed to monitor for the event, and record event data that characterizes a response of the vehicle operator to the event. In response to detecting an event, the processor evaluates the recorded event data against the performance parameter to determine whether the vehicle operator demonstrated appropriate behavior for the event, computes a vehicle operator score based upon the evaluation, and performs the behavior modification action where the operator has not been inculcated to respond to the event.

Abstract: A method for execution by a computing entity includes obtaining first and second learning objects regarding a topic. The method further includes deriving a first set of knowledge test-points for the first learning object regarding the topic based on a first set of knowledge bullet-points. The method further includes deriving a second set of knowledge test-points for the second learning object regarding the topic based on the second set of knowledge bullet-points. The method further includes generating a first knowledge assessment asset for the first learning object regarding the topic based on the first set of knowledge test-points, an illustrative asset, and a first descriptive asset of the first learning object. The method further includes generating a second knowledge assessment asset for the second learning object regarding the topic based on the second set of knowledge test-points, the illustrative asset, and a second descriptive asset of the second learning object.

Abstract: System, methods, and other embodiments described herein relate to performing an interactive activity using a band. In one embodiment, a method includes touching a subset of virtual inputs, on a touch sensor associated with a first band, relating to an interactive activity with a second band. The method may also include communicating, by the first band, first data to a first mobile device, the first data including information that identifies completion of the interactive activity and indicates a time that the subset are touched. The method may also include the first band triggering the first mobile device to communicate second data to a second mobile device to replicate the interactive activity.

Abstract: A computer-implemented method according to various aspects of the present disclosure includes modifying a lesson module, by a computer system. The modifying the lesson module includes generating an activity. The activity includes a coding puzzle and a puzzle runner mode. The method also includes, in the puzzle runner mode, displaying an indication that the coding puzzle is solved after the coding puzzle is solved and displaying a code runtime area showing a step-by-step execution of manipulated code of the lesson module.

Abstract: A computer-implemented method includes: monitoring, by a computing device, information regarding a user's real-world environment; detecting, by the computing device and based on the monitoring, when the user's real-world environment includes patterns that are correlated with a study topic; and providing, by the computing device, information regarding the study topic for display in a user device based on the detecting.

Abstract: A long-distance learning system includes an instruction studio and one or more remotely located classrooms for students. Each of the student's participation, academic performance, and use of digital resources for a class is evaluated in real time and assigned a color, so the instructor can easily assess each student's progress in the class when presented to the instructor in a display which is only for the instructor.