Abstract: An online multiplayer simulation game is described. The online multiplayer simulation game presents a computer-generated gameplay virtual world, where acquiring and demonstrating mastery of educational skills is a requirement for advancement of a character, associated with a user or a learner, in the game. The game provides a method for effectively teaching a set of educational skills by motivating the learner to improve understanding of the educational skills by having to demonstrate the educational skills as part of the game. Upon successful demonstration of the educational skills, components within the gaming realm are modified or enhanced.

Abstract: Disclosed is a method, performed by an electronic device, of providing a user with an interactive game, the method including obtaining user data collected with respect to the user, determining a user data type for providing the interactive game, based on the user data, generating a question and choices for the interactive game, based on user data that belongs to the determined user data type, from among the user data, and providing the user with the interactive game including the question and the choices.

Abstract: The disclosed embodiments include methods, systems, and articles of manufacture for enabling beta testing of new features within a native application. In one embodiment, a native application executed by a client device may include executable instructions that are activated and executed only upon indication of a user belonging to a beta test group. The client device may receive a signal from a service or content provider that includes test group information indicating whether a user is a member of a test group. The client device may process the received signal to determine whether the user is a member of a test group and, if so, activates and executes certain instructions received as part of the native application that define a user interface enabling access to additional functionality unavailable to a user determined not to be a member of a test group.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: A method and system for representing usage of an electronic learning system. The method and system involve receiving an input indicative of a selection of a property of the electronic learning system to be represented, the property including a course content provided by the electronic learning system and an activity available for that course content; receiving representation parameters that define a scope of the usage to be represented; determining an event count for the property during the period of interest; and generating a usage indicator for the property based at least on the event count. The usage indicator is generally reflective of at least a usage amount of the property during the period of interest.

Abstract: Systems and techniques for personalized assessment and/or learning are provided. The system may select tasks and task content for a user consistent with an administrator's suggested learning regimen for the user, while also adapting the selection of tasks and task content based on the user's performance and/or context when the user is not being supervised by an administrator.

Abstract: In certain embodiments, intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain a first set of predicted intents of the user. For each intent of the first set of predicted intents, a candidate question may be selected from a question set based on the candidate question matching the intent. In some embodiments, the candidate questions may be simultaneously presented on the chat interface.

Abstract: This disclosure relates to adjusting individualized content made available to users of an online game based on user gameplay information. In implementations, information relating to prospective usage of the online game is used to classify users according by user type, and content made available to the users is customized accordingly. Information relating to prospective usage may include predictive information such as demographic and geographic information, as well as game usage information for the users. User types may include resource collection, player versus player, and player versus environment. Customized content may include content made available to the users through the users in-game actions, such as exploring a map, researching a technology or skill, purchasing an in-game item, and completing an in-game achievement, including in-game items, in-game powers, in-game skills, in-game technologies, in-game pets, in-game transportation units, in-game units, and in-game buildings.

Abstract: This document describes, among other things, systems, methods, devices, and other techniques for using information about how long various videos were presented at client devices to determine subsequent video recommendations and search results. In some implementations, a computing can include a modeling apparatus, a front-end server, a request manager, one or more video file storage devices, a video selector, or a combination of some or all of these. The video selector can select video content for a particular digitized video among a plurality of digitized videos to serve to a computing device responsive to a request. The selection can be based at least in part on how long the particular digitized video has been presented at client devices associated with users having characteristics that match one or more characteristics of the user that submitted the request for video content, as indicated by the modeling apparatus.

Abstract: A scenario oriented information broadcasting system based on an Internet of Things is provided. A first electronic device provides first broadcast channels on an application and provides different first broadcast information respectively in the first broadcast channels via the Internet of Things. All or parts of contents of the first broadcast information are selected on the first electronic device based on a teaching scenario. The first electronic device identifies the second electronic device on which a user is logged into the application. After the second electronic device is successfully identified, the second electronic device can subscribe the first broadcast channel on the application, and then obtain and broadcast the first broadcast information via the Internet of Things. The first electronic device issues a subscription instruction to subscribe each of the second electronic devices, and receives a learning command from each of the second electronic devices.

Abstract: A method includes transmitting, by a plurality of drive sense circuits of a primary interactive display device, a plurality of signals on a plurality of electrodes of the primary interactive display device. At least one change in electrical characteristics of a set of electrodes is detected by a set of drive sense circuits during a temporal period. A stream of user notion data is determined by a processing module of the primary interactive display device based on interpreting the at least one change in the electrical characteristics of the set of electrodes during the temporal period. The stream of user notation data is displayed via a display of the primary interactive display device during the temporal period. The stream of user notation data is transmitted, via a network interface of the primary interactive display device, to a plurality of secondary interactive display devices for display.

Abstract: According to a first aspect of this specification, there is disclosed a computer implemented method comprising: training, based on an initial behavior goal and using reinforcement-learning, a reinforcement-learning model for controlling behavior of a non-playable character in a computer game environment; converting the trained reinforcement-learning model into a behavior tree model for controlling behavior of the non-playable character; editing, based on a user input, the behavior tree model to generate an updated behavior tree model for controlling behavior of the non-playable character; and outputting a final model for controlling non-player character behavior for use in the computer game environment, wherein the model for controlling non-player character behavior is based at least in part on the updated behavior tree model.

Abstract: A method of automatically providing personalized augmented mathematical learning content and activities to users of an online learning platform is described. Upon detecting that a user has captured an image or a video stream, one or more points of interest in the image or video stream are determined. Augmented mathematical information is then detected for the one or more points of interest and superimposed on the captured image or video stream.

Abstract: This online motivation system is not a learning method. It enables an educator to deliver an identical virtual reward, called a bonus, to every member of a learning team. The learning team consists of learners and their tutors assembled by the educator for online game play in the reward environment. The educator tasks the learner with goals in the learning environment and tasks the tutor with helping the learner to succeed. When the learner demonstrates satisfactory progress in the learning environment, every learning team member receives the virtual bonus in the reward environment. When the educator notifies the system of unsatisfactory progress by the learner, the system communicates penalty imposition while removing the virtual bonus from every learning team member. The system automatically restores the virtual bonus to the learning team. In this way, the educator rewards learners for doing assigned work and rewards the tutors for helping the learners.

Abstract: Identifying material with which students are struggling can guide educators' decisions on which modifications to the instructional experience will be most impactful to the learning experience. Educators make a finite selection of the nearly infinite number of possible combinations of instructional content, delivery approaches, instructional order, test questions, approaches for accountability, rubrics, and the like. Educators and administrators with thousands of students are incapable of processing the quantities of available data unaided. In some embodiments, a system enables users to view quantized metric data from a population of, for example, students. In some embodiments, the system displays a category-filtered presentation table of a single metric data source.

Abstract: 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.

Abstract: A system, method, and device for generating a flight training scheme oriented to an individual difference are provided to resolve a problem that a differentiated training scheme applicable to a training state of a trainee cannot be generated quickly. The system includes a first apparatus configured to obtain identity information of a user; a second apparatus configured to store training data of the user; a third apparatus configured to read the corresponding training data of the user based on the identity information of the user, obtain a mastery degree of a training item of the user as well as an emotion class and rating of the user corresponding to the training item, configure the training item based on a training scenario, and generate an initial training scheme; and a fourth apparatus configured to configure a flight training simulation environment based on the initial training scheme.

Abstract: Provided is a method for controlling privileges for an intelligent industrial assistant. The method may include receiving a first input from a user. The first input may include a first natural language input and first biometric data. An identity of the user may be determined based on the first biometric data. A role associated with the user may be determined based on the identity of the user. A request of the user may be determined based on the natural language input. The request may be associated with at least one acceptable role. A determination may be made whether the role associated with the user matches at least one of the acceptable role(s). A system and computer program product are also disclosed.

Abstract: Disclosed herein are embodiments for managing a virtual reality (VR) training exercise via a management server. The management server outputs a graphical dashboard including one or more skill nodes, and selects one or more software agents associated with the skill nodes. The management server provides the software agents to at least one host computing system communicatively coupled to a near-to-eye display device. The near-to-eye display device is configured to display a virtual three dimensional (3D) training environment including a plurality of interactive 3D virtual objects. The software agents are configured to collect VR observables data while the trainee performs actions within the virtual 3D training environment. Based on the VR observables data collected, the management server determines that one or more skills have been demonstrated during the training exercise, and updates the one or more skill nodes to graphically indicate the one or more skills demonstrated by the trainee.

Abstract: A system and method are disclosed for modularly scheduling learning events in a modular learning system. Information about application services and microlearning events are stored in the modular learning system, with each microlearning event comprising a plurality of learning applications associated with the application services. The modular learning system receives a request from an organizing user to organize a microlearning event, and in response the modular learning system generates a set of services compatible with the event.

Abstract: Methods and systems for modifying a learning path for a user of an electronic learning system. The methods can include: retrieving a set of learning objectives assigned to the user; retrieving the path data associated with the learning path defined for the user, the learning path including a series of actions in respect of one or more resources accessible via the electronic learning system and each action corresponds to at least one learning objective assigned to the user; receiving user response inputs from the user in respect of at least one learning objective; evaluating the received user response inputs to determine a competence level of the user in respect of the at least one learning objective, the competence level indicating a proficiency of the user with the at least one learning objective; and modifying the learning path for the user based on the competence level determined for the user.

Abstract: A method for adaptive language learning comprises receiving, by a processor, a response from a user in response to a first prompt. The first prompt is intended to test one or more language skills of the user. The method includes analyzing one or more characteristics of the response to determine one or more scores for the response. The one or more scores are determined based on a comparison of the one or more characteristics of the response to a predefined response to the prompt. The method includes determining a language proficiency for the user based on the determined one or more scores. The method includes dynamically selecting a second prompt to present to the user. The second prompt is selected based on the user's language proficiency and intended to further test the user's one or more language skills.

Abstract: The present disclosure provides a method and apparatus for evaluating article value based on artificial intelligence, and a storage medium. The solution of present disclosure may be employed to pre-mine high-quality articles and low-quality articles as training data, and train according to the training data to obtain a value-scoring model. As such, value evaluation needs to be performed for the to-be-evaluated article, it is feasible to first perform feature extraction for the to-be-evaluated article, determine a score of the to-be-evaluated article based on the extracted features and the value-scoring model, and thereby implement effective evaluation of the article value.

Abstract: Memory devices and systems with configurable die refresh stagger, and associated methods, are disclosed herein. In one embodiment, a memory system includes two or more memory dies. At least one memory die includes a fuse array storing refresh information that specifies a refresh group of the memory die. In these and other embodiments, at least one memory die includes a refresh group terminal and refresh group detect circuitry electrically connected to the refresh group terminal. The at least one memory die is configured to detect a refresh group of the memory die and to delay its refresh operation by a time delay corresponding to the refresh group. In this manner, refresh operations of the two or more memory dies can be staggered to reduce peak current demand of the memory system.

Abstract: Systems and methods to correlate user behavior patterns within an online game with psychological attributes of users exhibiting the user behavior patterns are disclosed.

Abstract: Systems and methods are provided for processing a drawing in a modeling prototype. A data structure associated with a visual model is accessed. The visual model is analyzed to extract construct-relevant features, where the construct-relevant features are extracted using a drawing object by identifying visual attributes of the visual model and populating a data structure for each object drawn. The visual model is analyzed to generate a statistical model, where the statistical model is generated using a multidimensional scoring rubric by targeting different constructs which compositely estimate learning progression levels, wherein the statistical model is based on features that are principally aligned with one or more of the constructs. An automated scoring is determined based on the construct-relevant features and the statistical model, where the automated scoring is stored in a computer readable medium. and is outputted for display, transmitted across a computer network, or printed.

Abstract: Systems and methods for displaying a large number of participants in videoconference are described. The participant's video feeds are presented in a continuous scrolling manner, such that each participant's video feed is visible for a part of the time. The participants may select the number of videos displayed at one time on a grid. The system and method monitor which video feeds are being, or about to be displayed, and streams the feeds accordingly. The system and method also provide for classroom-like settings by allowing students to “raise their hand” and be “called on” by an instructor. By scrolling though all of the videos in a meeting, people that are running a session can monitor the other participants, permitting them to select someone to focus on, and allows the other participants to see each other, producing a “sense of belonging.

Abstract: In some implementations, one or more computers provide data for an application configured to provide interactive content personalized for a user of a mobile device. The one or more computers obtain activity data for the user for a current segment of the program. The activity data can include interaction data indicating one or more interactions of the user with the application during the current segment and sensor data indicating one or more measurements separate from user input to the application. The one or more computers identify a subset of content for the current segment based data indicating on a current track or level assigned for the user. The one or more computers cause a selected portion of the content in the subset to be presented on the mobile device in response to a determination, based at least in part on the sensor data for the current segment, that one or more triggers or conditions defined by rules associated with the current track or level are satisfied.

Abstract: Methods and apparatus are provided for simultaneously displaying a session view of a videoconferencing session and a participant-initiated breakout session view. The session view displays a video feed of the videoconferencing session to meeting participants of the videoconferencing session on their respective participant computers. The breakout session participants are a subset of the meeting participants. The simultaneous display may be generated by a videoconferencing system to be displayed on a single online meeting user interface, or the simultaneous display may be created from two different videoconferencing systems, one for creating the session view, and another one for creating the participant-initiated breakout session view. The session view of the videoconferencing session is a breakout session, and the non-host participant-initiated breakout session is a further breakout session created from this breakout session.

Abstract: Embodiments of the present disclosure relate to techniques for performing a merge update for a database. In particular, certain embodiments of a method include generating a message comprising a first key and a first transaction associated with the first key, the first transaction indicating a transaction to perform other than for key-value pairs comprising the first key. The method further includes storing the message in a database. The method further includes merging the message with a first key-value pair stored in the database, the first-key value pair comprising the first key. The method further includes performing the first transaction based on merging the message with the first key-value pair.

Abstract: A method, system, and computer program product are provided. During creating a document by a creation module, the content of the document is analyzed. Sources used while creating the document are analyzed using NLP, sentiment analysis, tone analysis, speech-to-text, and visual recognition. The sources are associated with a location in the document. Sources are filtered out based on a degree of correlation to the document. Sources are linked to the document where a correlation is found between the document and the sources. The linked sources are stored in a database for recall. During a presentation of the document, upon receiving a question, the question is analyzed to determine a relevant logical section of the document, and the relevant sources are retrieved.

Abstract: Techniques for training and evaluating machine-learning models for providing student guidance are described herein. In some embodiments, a network service generates a set of clusters that group a plurality of students by similarity. The network service trains a machine-learning model based on variances in outcomes and actions leading to the outcomes for students that belong to a same cluster in the set of clusters. The network service evaluates the machine-learning model for a student that has been mapped to the same cluster to identify at least one action that the student has not performed that is predictive of an optimal outcome for other students that belong to the same cluster. Responsive to evaluating the machine-learning model, the network service presents, through an interface, a recommendation that the student perform the at least one action.

Abstract: A cognitive training and evaluation system capable of simulating a scenario to be executed by a trainee. The system includes a simulation server and one or more interface devices. The simulation server can include a data storage engine, a scenario generation engine, a scenario execution engine, and a feedback and analysis engine. The data storage engine can store a library of scenario scripts, which can be used by the scenario generation engine with one or more scenario generation parameters to produce a scenario for execution by the scenario execution engine. The scenario execution engine can be configured to execute the scenario by iteratively communicating a status to the interface device, and receiving a response from the interface device. Each interface device can render a simulation based on the one and communicate the response to the simulation server. Trainee and opponent statistics can be used during scenario generation and execution.

Abstract: A method for coordinating remote user engagement and instructional demonstrations may include transmitting an instructor video signal from the instructor device, receiving a communication request from the remote audience device, assigning the remote audience device a queue position for a communication queue according to the received communication request, and indexing one or more audience devices automatically into an active speaker role according to the communication queue. The method may further provide for directing display of a countdown or restricting audio from other devices.

Abstract: The present invention is a system, method, and teaching aid for continuously improving the system for educating students to a level of mastery and for systematically improving the mastery standard The invention includes a cost efficient system that enables multiple cycle of learning for each lesson, and the system is continuously reviewed and revised based on feedback showing the understanding and knowledge on the part of the students. Repetitive cycles of learning result in students with mastery level skill and confidence. The invention also includes a cost efficient method for creating the course and preparing instructors to teach the course.

Abstract: A local server for managing storage across client devices in an intermittent network may include a processor, and a memory communicatively coupled to the processor. The local server may also include an internet connection manager to manage data transfer from an internet to the local server, and a wireless local area network (LAN) access point to communicatively couple at least one local client device to the local server. The local server manages the local client device to use the local server as a proxy server. The local server may also include a local network manager. The local network manager may include an update manager to push data downloaded by the local server device to the local client device based on relevancy of the data to a user of the local client device.

Abstract: A local server for managing proxy settings in an intermittent network may include a processor, and a memory communicatively coupled to the processor. The local server may also include an internet connection manager to manage data transfer from the internet to the local server, and a wireless local area network (LAN) access point to communicatively couple at least one local client device to the local server. The local server may also include a local network manager to, when executed by the processor, manage a network including the local client device to use the local server as a proxy server, and a configuration manager to automatically configure the local client device.

Abstract: A method of dynamic lesson determination is performed by an application server. The application server receives telemetry data and a corresponding user identification (ID). The telemetry data indicates at least one usage of a user device by a user associated with the user ID. The application server stores the telemetry data to one or more databases and analyzes the telemetry data to determine one or more lessons, which are then sent, by the application server, to a dynamic gamification application of the user device.

Abstract: Upon accepting a start-up request or logout request of a login application, an information processing apparatus according to this embodiment controls to display a blank screen that does not input to a display unit or ignore input via a UI screen displayed on the display unit before the login application is started up or logout processing is completed.

Abstract: Methods and systems for automatically resolving computerized electronic communication anomalies are disclosed herein. The system can include a memory including an error database containing information identifying a plurality of previous detected errors and configuration information associated with those errors. The system can include a plurality of user devices. Each of these plurality of user devices can include: a first network interface to exchange data via the communication network; and a first I/O subsystem to convert electrical signals to user interpretable outputs via a user interface. The system can include a server that can: receive an indication of the initiation of electronic communication; receive an electrical signal including attribute information; receive an error message; identify a trend in error messages; and provide an error solution if a trend is identified.

Abstract: A retrofit auxiliary device for distributing cleaning resources to a household cleaning appliance having a treating chamber is described wherein the device can connect to various household cleaning appliances of different makes and models and can learn the flow of water and detergent during various stages of operation and then perform the dispensing itself.

Abstract: A processor may receive a recording. The recording may include one or more user guidance sequences and be displayed to a user. The processor may receive a first user input response to an initiation of a first user guidance sequence. The processor may determine, in response to receiving the first user input, that there is a discrepancy between the first user input and the first user guidance sequence. The processor may automatically modify the playback setting of the recording. The processor may display the discrepancy between the first user input and the first user guidance sequence to the user.

Abstract: Methods and apparatus are provided for simultaneously displaying a session view of a videoconferencing session and a participant-initiated breakout session view. The session view displays a video feed of the videoconferencing session to meeting participants of the videoconferencing session on their respective participant computers. The breakout session participants are a subset of the meeting participants. The simultaneous display may be generated by a videoconferencing system to be displayed on a single online meeting user interface, or the simultaneous display may be created from two different videoconferencing systems, one for creating the session view, and another one for creating the participant-initiated breakout session view.

Abstract: A machine-learning conversation listening, capturing, and analyzing system that determines instructional effectiveness is a classroom setting and a machine-learning conversation listening, capturing, and analyzing process for determining classroom instructional effectiveness are disclosed. The machine-learning conversation listening, capturing, and analyzing system and process for determining classroom instructional effectiveness relies on predetermined objective criteria and uses big data, deep learning, and redundancy to validate results.

Abstract: 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.

Abstract: A dynamic Innovation Enablement System (IES) that utilizes a novel n-dimensional vector-based data management system, in combination with a novel user interface and novel expert system, to speed up the efficiency of computer processing and real-time user application of data for selecting user interventions that optimize outcomes within the IES. The IES is a computer-implemented system for facilitating users to develop, practice and apply competency in innovation-conducive behaviors and techniques. The system has a user system and coupled to the user system, a server system, a data store and an innovation enablement system (IES). IES has a first module that includes information to guide users through a first set of tasks directed to developing competencies in innovation. IES also has a second module that includes information to guide users through a second set of predetermined tasks, including at least two tasks that together form an innovation process that directs a user towards producing an innovation.

Abstract: A computerized system enables teachers and students to collaborate in the solutions of STEM problems. The system includes a communications network linking a teacher computer, one or more student computers, and at least one computer-readable storage medium. Each of the computers includes an input device for receiving input via the input device and a screen for displaying the input. The computers are operatively linked and each of their screens forms a virtual shared whiteboard defining a common work page upon which input from each computer is received and displayed. Input received from each computer interacts mathematically with input received from each other computer in the network and the interactions are displayed on each screen. The input and interactions form a collaborative solution to STEM problems. When prompted, the storage medium records and plays back the solutions to the STEM problems on each screen for subsequent assessment of student performance.

Abstract: Disclosed are examples of systems, apparatus, methods, and computer program products for generating content objects using an integrated development environment. In some implementations, an integrated development environment is displayed. A request to generate or update an educational content object can be processed, and a presentation including metadata selection options can be provided. After a selection of one of the metadata selection options is received, the presentation can be updated. A different request is received from a rich text editor provided in a new presentation, and the new presentation can be updated.

Abstract: Technologies for using an inferred relationship between data sets to computationally align the data sets and generate actionable output include obtaining, from an online system, a set of member records; inferring a job category based at least partly on job function data extracted from the set of member records; obtaining, from the management system, a set of job records that correspond to the inferred job category; calculating an aggregate alignment score by comparing member skills data extracted from the set of member records to job skills data extracted from the set of job records, where the aggregate alignment score is a measure of a mismatch between the member skills data for the set of member records and the job skills data for the set of job records; based on the aggregate alignment score, identifying a skill that is actionable to address the mismatch between the member skills data and the job skills data; generating actionable output that replaces, modifies, or supplements first course recommendation d

Abstract: At least one of the embodiments described herein relate generally to a method of communicating between a first repository and a second repository. The method can be performed at a second repository, and may include the acts of: identifying a content object stored in the first repository; identifying metadata for the content object stored in the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; retrieving the metadata from the first repository; and storing a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to communicate information related to the harvested content object to the first repository.