Adaptive Learning Interface Customization based on Learning Styles and Behaviors

نویسندگان

  • Hyun Jin Cha
  • Yong Se Kim
  • Sun Hee Park
  • Yun Jung Cho
  • Mikhail Pashkin
چکیده

There exists an increasing demand for intelligent learning environments that are adaptive to learner’s preferences and tasks. This paper presents a study of an intelligent learning environment where the learner’s preferences are diagnosed using learner behavior patterns on user interfaces. In this research, a learning-style model by Felder & Silverman has been adopted as an appropriate basis for designing the behavior-based user interface customization.

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تاریخ انتشار 2005