Adaptive customization of user interface design based on learning styles and behaviors: A case study of a heritage alive learning system

The computer mediated education in the 21st century knowledge-based society calls for an intelligent learning environment: which is adaptive to learner's various needs and changing situations in a learning process. Such an intelligent learning environment can be embodied by having intelligent features such that the user interfaces are adaptive to user's learning style. The learner model is introduced as a main component for designing adaptive features. The learner modeling makes it possible to create a highly effective learning environment by allowing the development of tutoring media, interface design, and the design of learning strategy tuned to the perception style, input, processing, and understanding of learning information. In order to come up with a more accurate and reliable learner model, the system should be able to record interactions between the learner and the learning system so that their interrelations with the leaning situations can be analyzed and reflected to the learner model. The learner model is to be updated according to the analysis in a dynamic manner to provide the adaptive learning environment tailored to each learner. In this paper, such a learning system is demonstrated through the implementation of a heritage alive learning system.