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Today, users do not only access learning resources stored in traditional repositories. They use any kind of digital resource, often generated in the context of social media platforms. When trying to improve the learning experience, it is crucial that all resources that are potentially useful are accessible; and that the resources are described in a way that allows to identify what is relevant. We suggest enriching learning resource descriptions by combining metadata generated by experts, user interactions, observation components and machine-generated metadata. We give a brief example of the compilation of rich metadata sets by integrating the social media platform ALOE with resources and metadata from the Ariadne knowledge pool and public FlashMeeting replays.