Learning management server using Bayesian methods for adaptive hypermedia
AssigneeSiemens Corporate Research, Inc.
InventorAmit Chakraborty
Life of this patent
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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.
Claims18
A learning management system, comprising:
- a processor;
- a content storage unit in signal communication with the processor for storing learning content;
- a user modeling unit in signal communication with the processor and having a user model, the user modeling unit comprising a macro level modeler and a micro level modeler, a user filter for distinguishing user types, and a user modeler in signal communication with the user filter for continuously inferring user sophistication level and user interest level in response to user interaction with the learning management system;
- a personalization unit in signal communication with the processor 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 processor 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, and
- wherein the user sophistication level is inferred using a data term indicative of the likelihood that a particular page sequence is viewed given a profile, and a prior term indicative of the likelihood of the profile itself.
A computer-implemented method of modeling a user to deliver the appropriate content, comprising:
- modeling the user at a macro level by selecting a user type;
- modeling the user at a micro level in response to the macro modeling by gauging the user sophistication and interest level;
- and
- delivering the appropriate content to the user in accordance with the macro level modeling and the micro level modeling,
- wherein the user sophistication level is inferred using a data term indicative of the likelihood that a particular page sequence is viewed given a profile, and a prior term indicative of the likelihood of the profile itself.
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;
- 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;
- and
- delivering the appropriate content to the user in accordance with the macro level modeling and the micro level modeling,
- wherein the user sophistication level is inferred using a data term indicative of the likelihood that a particular page sequence is viewed given a profile, and a prior term indicative of the likelihood of the profile itself.
Dependencies are inferred from the claim text.