The iLOG Team at Work
What is iLOG?Learning Objects (LOs) are self-contained lessons designed to instruct students on a variety of topics. The Sharable Content Object Reference Model (SCORM) provides a specification for LOs to help ensure interoperability with the wide variety of Learning Management System (LMS) players such as Blackboard and Moodle. SCORM-compliant LOs consist of a set of HTML pages containing the content of the LO and a manifest file containing metadata tags and other information necessary for the LMS player. The metadata tags are intended to help potential users find suitable learning objects and to assist in cataloguing existing LOs in repositories. For example a LO designed to explain basic algebra could have a metadata tag indicating its suitability for teenage students.
SCORM supports a wide variety of metadata tags, but they are all optional and the designer of the LO is responsible for supplying them. All too often, no metadata tags are provided, which makes it difficult to catalogue existing LOs. The iLOG project intends to employ artificial intelligence to automatically generate metadata tags for both existing and new LOs. This is accomplished through the use of an HTML wrapper which logs user interactions to a central database. Such user interactions include page navigation, HTML-generated events such as mouse clicks, and the use of the SCORM assessment component. Through the application of advanced agent-based artificial intelligence, iLOG automatically generates metadata tags for LOs based on user interactions.
The Functions and Searching LOs will be deployed in the spring semester of 2008.