Abstract: Personalized video interjections based on a learner model and a learning objective. A method for adding interjections to a video includes analyzing the content of a plurality of videos based on a set of learning objectives, selecting a video based on a learning objective, determining types of video interjections using an analytics engine that compares a learner model and the learning objective, determining a location for the video interjections using the analytics engine, generating a video interjection for each video interjection type and inserting the video interjections into the video at the determined locations.

Abstract: Personalized video interjections based on a learner model and a learning objective. A method for adding interjections to a video includes analyzing the content of a plurality of videos based on a set of learning objectives, selecting a video based on a learning objective, determining types of video interjections using an analytics engine that compares a learner model and the learning objective, determining a location for the video interjections using the analytics engine, generating a video interjection for each video interjection type and inserting the video interjections into the video at the determined locations.

Abstract: Personalized video interjections based on a learner model and a learning objective. A method for adding interjections to a video includes analyzing the content of a plurality of videos based on a set of learning objectives, generating and storing educational content metadata on a timeline for the videos, selecting a video based on a user specific learning objective, determining types of video interjections using an analytics engine that compares a user learner model, the user learning objective and the metadata, determining a location for the video interjections using the analytics engine that compares the user learner model, the learning objective, the metadata and timeline, generating a video interjection for each video interjection type and inserting the video interjections into the video at the determined locations.

Abstract: In analyzing learning content, a social learning system receives from at least one client system in the social learning system a creation of at least one informal course by a learning content creator. Each informal course comprises learning content and metadata describing the learning content and the learning content creator. The social learning system further receives social data from a plurality of client systems in the social learning system for the at least one informal course. When the social learning system receives a query from a learning content administrator system in the social learning system including query parameters, the social learning system searches at least one of the metadata and the social data for one or more informal courses matching the query parameters and returns a list of one or more informal courses matching the query parameters as a query result.

Abstract: In analyzing learning content, a social learning system receives from at least one client system in the social learning system a creation of at least one informal course by a learning content creator. Each informal course comprises learning content and metadata describing the learning content and the learning content creator. The social learning system further receives social data from a plurality of client systems in the social learning system for the at least one informal course. When the social learning system receives a query from a learning content administrator system in the social learning system including query parameters, the social learning system searches at least one of the metadata and the social data for one or more informal courses matching the query parameters and returns a list of one or more informal courses matching the query parameters as a query result.

Abstract: In analyzing learning content, a social learning system receives from at least one client system in the social learning system a creation of at least one informal course by a learning content creator. Each informal course comprises learning content and metadata describing the learning content and the learning content creator. The social learning system further receives social data from a plurality of client systems in the social learning system for the at least one informal course. When the social learning system receives a query from a learning content administrator system in the social learning system including query parameters, the social learning system searches at least one of the metadata and the social data for one or more informal courses matching the query parameters and returns a list of one or more informal courses matching the query parameters as a query result.

Abstract: In analyzing learning content, a social learning system receives from at least one client system in the social learning system a creation of at least one informal course by a learning content creator. Each informal course comprises learning content and metadata describing the learning content and the learning content creator. The social learning system further receives social data from a plurality of client systems in the social learning system for the at least one informal course. When the social learning system receives a query from a learning content administrator system in the social learning system including query parameters, the social learning system searches at least one of the metadata and the social data for one or more informal courses matching the query parameters and returns a list of one or more informal courses matching the query parameters as a query result.