Chegg, Inc.
TIME-CONSTRAINED PERSONALIZED LEARNING ACTIVITIES IN ONLINE EDUCATION PLATFORMS

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Abstract:

A method of automatically providing personalized learning activities to users of an online learning platform is described. An input of an educational objective and a finite duration of time for completion of the educational objective is received. An effective time available to the user for rendering a playlist of educational content files is calculated. A plurality of educational content files that meet the educational objective is selected from an educational content repository. A subset of educational content files is selected from the plurality based on a learning profile associated with the user and time needed for rendering. An ordered playlist of the educational content files in the subset is generated, such that the ordered playlist is estimated to be rendered by the user within the effective time and is optimized to achieve the educational objective for the user.

Status:
Application
Type:

Utility

Filling date:

19 Jun 2018

Issue date:

19 Dec 2019