INTUITEL is structured as follows:


1. Pedagogical and domain-specific ontologies
A key element in INTUITEL is an OWL-based pedagogical ontology, which will provide a unified way to describe learning material and learning pathways. Diverse domain-specific ontologies can then be translated into an INTUITEL conform format and provide the system with a detailed cognitive model.

2. Learning Management System integration
INTUITEL will blend in with several free and commercial Learning Management Systems. Starting with CLIX, Crayons, eXact learning LCMS, ILIAS and Moodle, the number of supported platforms will be extendable via an XSD-based interface description. This integration will allow INTUITEL to measure the learning progress (“User Score Extraction”, USE), have direct interaction with the learner (“Tutorial Guidance”, TUG) and recommend the optimal learning objects (“Learning Object Recommender”, LORE).

This video demonstrates — by clicking this link, you will be redirected to YouTube — how the USE/TUG/LORE interface of INTUITEL is incorporated into the ILIAS system. Video and audio have been produced by Kevin Fuchs/HSKA.

3. Semantic Learning Object Model
To enhance the exchangeability of learning material, a new data format, the Semantic Learning Object Model (SLOM), will be specified. More than just storing content, SLOM will also contain domain-specific as well as pedagogical knowledge and thus bridge the gap between learning management systems and domain ontologies.

4. INTUITEL Back End
In order to guide each individual user through the learning material in an optimal way, the Learning Progress Model (LPM) will deduce the learner’s current position in the cognitive model. By using diverse historic and current metadata about the learner, as well as ambient information, the INTUITEL Engine will then create recommendations on how to best proceed, helping the learner to master the learning material as efficient and sustainable as possible.