Learning management server using Bayesian methods for adaptive hypermedia
AssigneeSiemens Corporate Research, Inc.
InventorAmit Chakraborty
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Abstract
A learning management system includes a content storage unit for storing learning content, a user modeling unit in signal communication with the content storage unit and having a user model, a personalization unit in signal communication with the content storage unit for personalizing the learning content stored in the content storage unit in response to the user model, and a user interface in signal communication with the content storage unit for enabling a user to interact with the learning management system, wherein the learning management system delivers content responsive to user interaction with the learning management system.
Claims20
A learning management system, comprising:
- a content storage unit for storing learning content;
- a user modeling unit in signal communication with the content storage unit and having a user model;
- a personalization unit in signal communication with the content storage unit for personalizing the learning content stored in the content storage unit in response to the user model;
- and
- a user interface in signal communication with the content storage unit for enabling a user to interact with the learning management system, wherein the learning management system delivers content responsive to user interaction with the learning management system.
A method of modeling a user to deliver the appropriate content, comprising:
- modeling the user at a macro level by selecting a user type;
- and
- modeling the user at a micro level in response to the macro modeling by gauging the user sophistication and interest level.
A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform program steps for user modeling and content delivery, the program steps comprising:
- modeling the user at a macro level by selecting a user type;
- and
- modeling the user at a micro level in response to the macro modeling by at least one of gauging the user sophistication and interest level.
Dependencies are inferred from the claim text.