Adaptive educational hypermedia based on multiple student characteristics

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Herman D. Surjono, John R. Maltby

2003 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 2783 Article Cited by 17

Abstract

The learning process in Adaptive Educational Hypermedia (AEH) environments is complex and may be influenced by aspects of the student, including prior knowledge, learning styles, experience and preferences. Current AEH environments, however, are limited to processing only a small number of student characteristics. This paper discusses the development of an AEH system which includes a student model that can simultaneously take into account multiple student characteristics. The student model will be developed to use stereotypes, overlays and perturbation techniques. © Springer-Verlag Berlin Heidelberg 2003.

Affiliations

School of Multimedia and Information Technology, Southern Cross University, Lismore, NSW 2480, Military Road, Australia; Dept. of Electronic Engineering, Yogyakarta State Univ., Indonesia