Pearson Education, Inc.

Chadwick Reimers

Jeffrey DeYoung

Ritu Saxena

Leo Woessner

Mark Potter

Brian Moriarty

Daniel L Ensign

Victoria Kortan

Alison Doucette

A multi-country data pipeline keeps all of the PII received from a user that is in a first country in the first country. The data pipeline allows the non-personal data received from the user to be transmitted and analyzed in a second country. The method further allows the results of the analysis in the second country to be transmitted back to the first country where the PII is added to the results of the analysis. The data pipeline allows the results of the analysis in the second country to be used to take a desired action for the user in the first country, all while the PII of the user never leaves the first country.

Method for a multi-country data pipeline to protect personally identifying information

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.

Personalized content distribution

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Larkspur, CO, United States of America

Chadwick Reimers