Learning systems and methods of the present disclosure include generating a text document based on a digital file, tokenizing the text document, generating a semantic model based on the tokenized text document using an unsupervised machine learning algorithm, assigning a plurality of passage scores to a corresponding plurality of passages of the tokenized text document, selecting one or more candidate knowledge items from the tokenized text document based on the plurality of passage scores, filtering the one or more candidate knowledge items based on user data, generating one or more structured learning assets based on the one or more filtered candidate knowledge items, generating an interaction based at least on the one or more structured learning assets, and transmitting the interaction to a user device. Each passage score is assigned based on a relationship between a corresponding passage and the semantic model.

Learning systems and methods of the present disclosure include generating a text document based on a digital file, tokenizing the text document, generating a semantic model based on the tokenized text document using an unsupervised machine learning algorithm, assigning a plurality of passage scores to a corresponding plurality of passages of the tokenized text document, selecting one or more candidate knowledge items from the tokenized text document based on the plurality of passage scores, filtering the one or more candidate knowledge items based on user data, generating one or more structured learning assets based on the one or more filtered candidate knowledge items, generating an interaction based at least on the one or more structured learning assets, and transmitting the interaction to a user device. Each passage score is assigned based on a relationship between a corresponding passage and the semantic model.

A system that providing an interactive means for one or more team members to learn about and better-react to opponents in upcoming games is provided. The system operates by repeatedly running drill sessions having a dynamic difficulty, where the difficulty is automatically set, based on the success of the player performing the drill session, and other characteristic about the player.

A system that providing an interactive means for one or more team members to learn about and better-react to opponents in upcoming games is provided. The system operates by repeatedly running drill sessions having a dynamic difficulty, where the difficulty is automatically set, based on the success of the player performing the drill session, and other characteristic about the player.

Implementations disclosed herein provide user interfaces that are configured to selectively use and present device and system resources in ways that motivate inmate engagement with self-administered courses. One example of this is a user interface that is provided with music enabling capabilities as a reward to motivate course engagement. The user interface presents a segment of course material of one or more self-administered courses and the app determines an engagement score indicating a level of engagement by the inmate with the segment of the course material. The app determines that the inmate qualifies for a music reward based on the engagement score satisfying reward criteria, and accordingly displays, on the user interface, a notification of the music reward and/or enables music on the inmate device, for example, during display of a second segment of the course material.

Implementations disclosed herein provide user interfaces that are configured to selectively use and present device and system resources in ways that motivate inmate engagement with self-administered courses. One example of this is a user interface that is provided with music enabling capabilities as a reward to motivate course engagement. The user interface presents a segment of course material of one or more self-administered courses and the app determines an engagement score indicating a level of engagement by the inmate with the segment of the course material. The app determines that the inmate qualifies for a music reward based on the engagement score satisfying reward criteria, and accordingly displays, on the user interface, a notification of the music reward and/or enables music on the inmate device, for example, during display of a second segment of the course material.

Systems and methods are provided herein for selecting and providing educational content to a user. The content may be selected from content pools based on a user's individual characteristics, prior performance, aggregated student performance, and other factors. The system may also record behavioral data associated with the user to refine content selection for subsequent iterations. The system may also predict a student's results and the likelihood of passing or failing.

Learning systems and methods of the present disclosure include generating a text document based on a digital file, tokenizing the text document, generating a semantic model based on the tokenized text document using an unsupervised machine learning algorithm, assigning a plurality of passage scores to a corresponding plurality of passages of the tokenized text document, selecting one or more candidate knowledge items from the tokenized text document based on the plurality of passage scores, filtering the one or more candidate knowledge items based on user data, generating one or more structured learning assets based on the one or more filtered candidate knowledge items, generating an interaction based at least on the one or more structured learning assets, and transmitting the interaction to a user device. Each passage score is assigned based on a relationship between a corresponding passage and the semantic model.

Learning systems and methods of the present disclosure include generating a text document based on a digital file, tokenizing the text document, generating a semantic model based on the tokenized text document using an unsupervised machine learning algorithm, assigning a plurality of passage scores to a corresponding plurality of passages of the tokenized text document, selecting one or more candidate knowledge items from the tokenized text document based on the plurality of passage scores, filtering the one or more candidate knowledge items based on user data, generating one or more structured learning assets based on the one or more filtered candidate knowledge items, generating an interaction based at least on the one or more structured learning assets, and transmitting the interaction to a user device. Each passage score is assigned based on a relationship between a corresponding passage and the semantic model.

The present disclosure relates to a computer implemented method for apply gamification techniques to a security system, allowing scoring of users handling events generated within the security system. The present disclosure also relates to a corresponding security system and a computer program product.