Abstract: In some embodiments, techniques include identifying a plurality of tasks associated with an identifier corresponding to an electronic device. A task series is generated so as to include the plurality of tasks, where each task in the series is associated with a performance time. When it is determined that the task has not been completed by the performance time, the task series is updated.

Abstract: Embodiments relate to systems and methods for electronically conditioning transmission of communications based on results of a connection assessment. An electronic file is executed at an electronic device, which causes a first query and a second query to be presented. A first query response and a second query response are identified. The first query response is stored in a locked configuration that inhibits the ability to modify the first query response to the first query. The second query response is stored but is not stored in the locked configuration. Query response data is generated that includes an identifier of the second query, an identifier of the second query response and an identifier of the electronic device. A connection variable is determined by assessing one or more network connections available to the electronic device. When a transmission condition is satisfied, the query response data is transmitted to another device.

Abstract: Systems and methods for determining mastery in a Bayesian network are disclosed herein. The system can include memory including a content library database containing content for delivery to a user. The system can include at least one processor that can receive an assertion from a user device and identify one or several nodes relevant to the received assertion. The at least one processor can further evaluate the assertion and calculate a node mastery probability for the identified one or several relevant nodes. The at least one processor can calculate mastery of related nodes and determine mastery of an objective based on the mastery of the relevant nodes and the related nodes. The at least one processor can generate a mastery bar and update the mastery bar with the determined mastery of the objective.

Abstract: In the present invention a content distribution network delivers content that can include training, entertainment, assessment, and evaluation among many other types of content. Content can be delivered on-demand to devices operated by users in local or remote locations or can be delivered live in a present local or live-streamed to remote locations. In each of these cases the user, thru the user device, can provide valuable feedback to the content distribution network to improve content delivery and user content retention in the form of correlating detected patterns with the content being delivered. An image sensor attached to a user device captures facial expressions as patterns and transmits them to a content manager that aligns the pattern with the content and determines a sentiment corresponding to the pattern. The content manager can improve the user's content reception by implementing a workflow responsive to the corresponding sentiment pattern.

Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.

Abstract: Systems and methods for automatic content remediation notification are disclosed herein. The system can include memory that can contain a content library database. The system can include a first user device and one or more servers. The one or more servers can: receive a content aggregation creation request from the first user device; identify content information associated with a set of the plurality of data packets; apply a filter request to the set of the plurality of data packets; automatically provide information relating to data packets in the restricted set of data packets to the first user device; receive content aggregate information identifying a content aggregate from the first user device; evaluate the content aggregate according to the metadata associated with the data packets of the content aggregate; and output an indicator of the evaluation result to the first user device.

Abstract: Systems and methods for automatic content remediation notification are disclosed herein. The system can include memory that can contain a content library database. The system can include a first user device and one or more servers. The one or more servers can: receive a content aggregation creation request from the first user device; identify content information associated with a set of the plurality of data packets; apply a filter request to the set of the plurality of data packets; automatically provide information relating to data packets in the restricted set of data packets to the first user device; receive content aggregate information identifying a content aggregate from the first user device; evaluate the content aggregate according to the metadata associated with the data packets of the content aggregate; and output an indicator of the evaluation result to the first user device.

Abstract: Sentiment analyzer systems may include feedback analytics servers configured to receive and analyze feedback data from various client devices. Feedback data may be received and analyzed to determine feedback context and sentiment scores. In some embodiments, natural language processing neural networks may be used to determine sentiment scores for the feedback data. Feedback data also may be grouped into feedback aggregations based on context, and sentiment scores may be calculated for each feedback aggregation. Sentiment analyzer outputs and corresponding output devices may be determined based on the sentiment scores and feedback contexts.

Abstract: Techniques described herein relate to performing wireless diagnostic analyses including execution and evaluations of interactive content resources executed by execution devices on and/or for separate content receiver devices. A multi-phrase diagnostic session may proceed with an execution of an initial set of diagnostic modules on an execution device, during which interactive content is transmitted/received from a connected receiver device. The results of the diagnostic modules may be evaluated in real-time and transmitted to a diagnostic analyzer server to select additional diagnostic modules for execution during the diagnostic session. The diagnostic analyzer server may select the additional diagnostic modules based on based on response data received via the content execution device to the interactive content of the previously executed diagnostic modules, and/or data received from additional data sources related to the content receiver.

Abstract: Systems and methods of the present invention provide for a server computer to receive, from a client GUI a request for a recommendation, the request including a designation of a desired assessment score. The server then queries activity data for the user to identify an objective category associated with the user activity and an assessment score for the user below a defined threshold. The server then queries a recommended activity data, tagged with the identified category and a score weighting defining an increase to the assessment score. The server then generates a GUI including a report of the assessment score below the threshold and the recommended activity.

Abstract: Systems and methods for automated node status determination are disclosed herein. The system can include a memory. The memory can include a Q-matrix that can include data identifying a relationship between at least a portion of a standard and at least one item of an assessment. The system can include at least one server. The at least one server can provide a first interim assessment including a first plurality of items. Each of the items can correspond to a child evidence node in a Bayesian network. The at least one server can generate first evidence by evaluating responses received to the first plurality of items from the first interim assessment and can calculate a mastery probability according to the Bayesian network of at least one parent node in the Bayesian network based on the generated first evidence.

Abstract: Generally, embodiments of the invention are directed to methods, computer readable medium, servers, and systems for deidentified access of data. The deidentified access is permitted with the use of an identifier that uniquely indicates an outcome, the coding of the identifier obscures unaided human interpretation of the outcome, and the identifier uniquely identifies data for remediating performance associated with future outcomes.

Abstract: Generally, embodiments of the invention are directed to methods, computer readable medium, servers, and systems for deidentified access of data. The deidentified access is permitted with the use of an identifier that uniquely indicates an outcome, the coding of the identifier obscures unaided human interpretation of the outcome, and the identifier uniquely identifies data for remediating performance associated with future outcomes.

Abstract: Systems and methods for automated content selection and/or distribution are disclosed herein. The system can include a packet selection system including a recommendation engine. The recommendation engine can select a next data packet that can include content for delivery to a user device. The system can include a presentation system including a presenter module. The presenter module can receive an indication of the selected next data packet and send the content for delivery to the user device via an electrical communication. The system can include a response system including a response processor. The response processor can receive a response from the user device, and the response processor can determine whether the received response is a desired response. The system can include a summary model system including model engine, and a messaging bus.

Abstract: Methods and systems for network-based intervention are disclosed. The methods can include receiving a user response and analyzing the user response and other user data to determine a user typology. The user typology can be compared with risk data that indicates the user's risk of failing to achieve a target outcome based on the identified user typology. If the user's risk of failing to achieve the target outcome exceeds a desired level, a mitigation plan can be generated and provided to the user to thereby facilitate in the attainment of the target outcome.

Abstract: Systems and methods for automated evaluation system routing are described herein. The system can include a memory, which can include a model database and a correlation database. The system can include a first user device and a second user device. The system can include at least one server. The at least one server can: receive a response communication from the user device; generate an initial evaluation value according to an AI model; determine a correlation between the initial evaluation value and evaluation range data; accept the initial evaluation value when the correlation exceeds a threshold value; and route the response communication to the second user device for generation of an elevated evaluation value when the correlation does not exceed the threshold value.

Abstract: A computerized-social network provides a community of users with features and tools facilitating an immersive, collaborative environment where users can learn a language or help others learn a language. One user (user A) can view another user's (user B) Web page or document and make suggestions or comments for selected content on that Web page. These suggestions are linked specifically to the selected content. User B can review the suggestions, and accept or reject the suggestions by user A and others.

Abstract: The present invention allows a language learning platform to calculate a user's overall language skill. This may be performed as a standalone test or before, during and/or after a language course. The language learning platform may perform a Pre-CAT process, a CAT process, a stage 2—fixed form process and a scoring and reporting process. The Pre-CAT process is designed to quickly get an initial estimate of the user's overall language skill. The CAT processes improves on the accuracy of the Pre-CAT process, preferably until the conditional standard error of measurement for the user's overall language skill is less than a predetermined number. The stage 2—fixed form process may use the user's overall language skill to select speaking, listening and writing assessment items of an appropriate difficulty for the user.

Abstract: Systems and methods for automatic content remediation notification are disclosed herein. The system can include memory that can contain a content library database. The system can include a first user device and one or more servers. The one or more servers can: receive a content aggregation creation request from the first user device; identify content information associated with a set of the plurality of data packets; apply a filter request to the set of the plurality of data packets; automatically provide information relating to data packets in the restricted set of data packets to the first user device; receive content aggregate information identifying a content aggregate from the first user device; evaluate the content aggregate according to the metadata associated with the data packets of the content aggregate; and output an indicator of the evaluation result to the first user device.

Abstract: Systems and method for remote intervention are disclosed herein. The system can include a memory including: a user profile database; and a model database. The system can include a user device and a supervisor device, each of which including: a network interface; and an I/O subsystem. The system can include a content management server that can: receive data identifying a user of the user device; retrieve user data for the user from the user profile database; retrieve a risk model from the model database; generate a risk value based on the risk model; generate an action recommendation identifying an action for completion; and generate and send an alert to the supervisor device, which alert includes the action recommendation and includes computer code to trigger activation of the I/O subsystem of the supervisor device to provide the action recommendation.