@inproceedings{3052735,
    title = "Computational intelligence in adaptive educational hypermedia",
    author = "Papanikolaou, KA and Magoulas, GD and Grigoriadou, M",
    year = "2000",
    pages = "629-634",
    publisher = "IEEE Comput. Soc",
    booktitle = "IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT
CONFERENCE ON NEURAL NETWORKS, VOL VI",
    doi = "10.1109/IJCNN.2000.859466",
    abstract = "In this paper neuro-fuzzy synergism is applied to implement content
sequencing in adaptive hypermedia systems. The level of understanding of
the learner is used to construct lessons adapted to the learner’s
knowledge goals and level of expertise on the domain concepts s/he has
already studied. The learner’s evaluation is based on defining
appropriate fuzzy sets and relate learner’s response with appropriate
knowledge and cognitive characterizations. A connectionist-based
structure of the domain knowledge is adopted for representing knowledge
and inferring the planning strategy for generating the hypermedia page
from pieces of educational material. The fuzziness associated with the
evaluation of the learner is handled well by the proposed connectionist
architecture."
}