Abstract: Systems and methods for content provisioning are disclosed herein. The method includes receiving content corresponding to at least one source document, parsing the content, identifying segments from the parsed content, generating a networked grouping of the segments, receiving historical user information about a plurality of users, training a model by using the historical user information, receiving activities of a user, parsing the activities of the user, identifying components from the parsed activities, correlating the components with the segments, extracting features from the activities of the user based on the correlation, and using the trained model to estimate a mastery level of the user based on the features.

Abstract: Systems and methods for automated data packet selection and delivery are disclosed herein. The system can include a memory containing a data packet database including data packets for delivery to a user; and a user profile database including information identifying at least one user. The system can include a user device and one or several servers. The one or several servers can: receive a request for delivery of a set of data packets to a user via the user device; identify potential data packets for delivery to the user via the user device; determine a probability of the user providing a desired response to each of the potential data packets; weight the data packets according to weighting data and the determined probability; select a set of data packets from the potential data packets; and provide the set of data packets to the user via the user device.

Abstract: Systems and methods for automatically triggering an action in response to a user being likely to struggle with an assignment are disclosed herein. The systems and methods use an artificial intelligence model to determine a likelihood or plausibility of struggling score which is compared with one or more thresholds. Should the likelihood or plausibility of struggling score exceed one or more of the thresholds, an action corresponding with the threshold exceeded is triggered.

Abstract: Systems and methods for content provisioning are disclosed herein. The method includes, for each calendar event of a plurality of calendar events for a user, receiving the calendar event, parsing the calendar event, applying a tag to the calendar event based on the parsing of the calendar event, and saving the calendar event and the tag into a temporary table. The method also includes applying a filter to the plurality of calendar events in the temporary table, wherein the filter removes labels from calendar events having a first tag, and saving data from the filtered temporary table into a permanent table.

Abstract: Systems and methods for content provisioning are disclosed herein. The method includes receiving content corresponding to at least one source document, parsing the content, identifying segments from the parsed content, generating a networked grouping of the segments, receiving historical user information about a plurality of users, training a model by using the historical user information, receiving activities of a user, parsing the activities of the user, identifying components from the parsed activities, correlating the components with the segments, extracting features from the activities of the user based on the correlation, and using the trained model to estimate a mastery level of the user based on the features.