Goals

1. Interactivity authoring support

The goal is to improve the current practice of authoring interactive exercises in ActiveMath through usage of collaborative authoring support and partial generation of solution graphs and metadata.

2. Collaborative authoring support

The goal is to widely implement the effective authoring patterns developed on the Social Web and to find the benefits and limitation of collaborative authoring technology for semantic learning content creation.

3. Metadata authoring support

The goal is develop a technology that will make authoring semantics for learning content available for a broader category of users. Social tagging is going to be used as a technique proven to be a non-obtrusive way of providing metadata. Semantic Web technologies will be applied for mapping new tags to the concepts form metadata schema, for inferring the most probable concept for recommendation, etc.

4. Support of gap detection and content consistency verification

The goal is to develop a technology for effective detection of knowledge gaps in learning content. Two approaches will be taken: metadata-driven automatic gap detection and user-driven collaborative gap detection.

5. Open-corpus learning content discovery

The goal is to develop a technology for harvesting learning content from online sources and its provision with appropriate metadata