Abstract: Methods, systems and computer program products for providing personalized education content recommendations are disclosed. A computer-implemented method may include receiving information describing a body of content, receiving data describing an interaction of a user with one or more elements of the body of content, receiving a context that includes one or more criteria associated with the body of content, generating a list of modules from the body of content based on the data describing the interaction of the user with the one or more elements of the body of content in view of the context, and providing the generated list of modules to an interested party.

Abstract: Methods, systems and computer program products for providing personalized educational content recommendations are disclosed. A computer-implemented method may include receiving information describing a body of content, receiving data describing an interaction of a user with one or more elements of the body of content, receiving a context that includes one or more criteria associated with the body of content, generating a list of modules from the body of content based on the data describing the interaction of the user with the one or more elements of the body of content in view of the context, and providing the generated list of modules to an interested party.

Abstract: Systems, methods, and related technologies for generating content relationships based on aggregate user feedback are described. In certain aspects, a plurality of content items can be received, each of the content items being associated with one or more respective metadata items. The plurality of content items and one or more corresponding metadata items can be processed to identify two or more potentially related content items. The two or more potentially related content items can be provided to one or more users. One or more feedback items with respect to the relationship between the two or more potentially related content items can be received from the one or more users. At least one of the two or more potentially related content items can be categorized based on the one or more feedback items.

Abstract: Methods, systems and computer program products for providing personalized educational content recommendations are disclosed. A computer-implemented method may include receiving information describing a body of content, receiving data describing an interaction of a user with one or more elements of the body of content, receiving a context that includes one or more criteria associated with the body of content, generating a list of modules from the body of content based on the data describing the interaction of the user with the one or more elements of the body of content in view of the context, and providing the generated list of modules to an interested party.