US 12,613,710 B2 · Automated generation of early warning predictive insights about users

Abstract

The present disclosure describes automated generation of early warning predictive insights derived from contextual analysis of user activity data of a distributed software platform. Predictive insights are automatically generated from analysis of user activity through implementation of trained artificial intelligence (AI) modeling. User activity data is accessed pertaining to user interactions by a plurality of users on a software data platform. The trained AI modeling generates a plurality of mobility determinations that identify changes in patterns of user behavior over a current temporal filter associated with the user activity data. The plurality of mobility determinations is curated using business logic rules that evaluate a relevance of the mobility determinations. One or more predictive insights may be generated and presented via a graphical user interface notification. Exemplary notifications help provides insights into how user behavior has changed and why that is, thereby fostering understanding of predictions that can lead to actionable results.

Claims20

Dependent claims

A computer-implemented method comprising:

accessing user activity data pertaining to user interactions by a plurality of users with an educational software platform;
generating at least one engagement mobility determination that identifies a recent change in user behavior over a recent period of time, wherein the at least one engagement mobility determination is generated based on a relevance analysis of at least:
recent user interaction data associated with a first user during the recent period of time;
and
historical user interaction data associated with the first user during a historical period of time;
generating at least one predictive insight based on an analysis of the at least one engagement mobility determination;
and
providing data for rendering the at least one predictive insight in a notification in a graphical user interface.

5 more elements

A computing apparatus comprising:

one or more computer readable storage media;
one or more processors operatively coupled with the one or more computer readable storage media;
and
program instructions stored on the one or more computer readable storage media that, when executed by the one or more processors, direct the computing apparatus to:
access user activity data pertaining to user interactions by a plurality of users with an educational software platform;
generate at least one engagement mobility determination that identifies a recent change in user behavior over a recent period of time, wherein the at least one engagement mobility determination is generated based on a relevance analysis of at least:
recent user interaction data associated with a first user during the recent period of time;
and
historical user interaction data associated with the first user during a historical period of time;
generate at least one predictive insight based on an analysis of the at least one engagement mobility determination;
and
provide data for rendering the at least one predictive insight in a notification in a graphical user interface.

9 more elements

One or more computer readable storage media having program instructions stored thereon that, when executed by one or more processors, direct a computing apparatus to at least:

access user activity data pertaining to user interactions by a plurality of users with an educational software platform;
generate at least one engagement mobility determination that identifies a recent change in user behavior over a recent period of time, wherein the at least one engagement mobility determination is generated based on a relevance analysis of at least:
recent user interaction data associated with a first user during the recent period of time;
and
historical user interaction data associated with the first user during a historical period of time;
generate at least one predictive insight based on an analysis of the at least one engagement mobility determination;
and
provide data for rendering the at least one predictive insight in a notification in a graphical user interface.

5 more elements

Dependencies are inferred from the claim text.

Automated generation of early warning predictive insights about users

Life of this patent

Automated generation of early warning predictive insights about users

Life of this patent

Abstract

Claims20