In a multi-dimensional learning space, an agent guides a learner through the space by finding optimal pieces of learning material or tasks to the learner. The guidance depends on the actions of the learner. The individualized path through the space helps the learner to construct his or her own model of the topic dealt with in the learning space.
All of the potential user responses to the tasks presented are coded by their relation to the learning objectives. The coding is conducted by the person making the learning material. The material and the objectives are prepared with a description language designed for this environment. The language is a subset of XML.
The hierarchical or independent learning objectives can be pedagogical or for instance neuropsychological ones in which case the recorded learning process serves as evaluation material for neuropsychologists.
We have designed and implemented a learning environment described above to the context of special education. The target group has difficulties in organizing a given assignment. However, similar problems occur frequently within other user groups but different learning spaces, like those of project planning or mastery of life; the scheme presented can also be applied to these areas.