Authoring of Probabilistic Sequencing in Adaptive Hypermedia with Bayesian Networks Articles uri icon

publication date

  • December 2010

start page

  • 2801

end page

  • 2820

issue

  • 19

volume

  • 16

international standard serial number (ISSN)

  • 0948-6968

abstract

  • One of the difficulties that self-directed learners face on their learning process is choosing the right learning resources. One of the goals of adaptive educational systems is helping students in finding
    the best set of learning resources for them. Adaptive systems try to
    infer the students' characteristics and store them in a user model
    whose information is used to drive the adaptation. However, the
    information that can be acquired is always limited and partial. In
    this paper, the use of Bayesian networks is proposed as a possible
    solution to adapt the sequence of activities to students. There are
    two research questions that are answered in this paper: whether
    Bayesian networks can be used to adaptively sequence learning
    material, and whether such an approach permits the reuse of learning
    units created for other systems. A positive answer to both question is
    complemented with a case study that illustrates the details of the
    process.