Adaptation languages as vehicles of explicit intelligence in Adaptive Hypermedia

Abstract

This paper deals with a new challenge in Adaptive Hypermedia (AH) and web-based systems: finding the adaptation language to express, independently from the domain model or platform, the intelligent, adaptive behaviour of personalised web courseware. The major requirements for the ideal language are: reuse, flexibility, high level semantics, and ease of use. To draw closer to this ideal language, we compare two such language proposals: LAG, a generic adaptation language, and a new XML adaptation language for Learning Styles (LS) in AHA!, LAG-XLS.

Untitled

“…Morzy et al (2008) menghasil sebuah laman web adaptif khusus untuk pengguna mereka bentuk sendiri laman web secara berasaskan templat (template-based) mengikut kehendak dan pilihan masing-masing. Sementara itu Stash (2007) menghasil sistem yang mensasar aplikasi pelbagai domain yang mampu untuk beradaptasi dengan pelbagai aspek kemahuan pengguna dengan menggabung teknik Hipermedia Adaptif dan kognitif/pembelajaran pengguna.…”

LAG 2.0: Refining a Reusable Adaptation Language and Improving on Its Authoring

“…Other approaches, such as other adaptation languages exist (see, e.g., LAG-XLS [ 26]). The later language caters for learning styles, but it would need further extensions to cater for more extensive personalization as well as collaborative aspects.…”

A DSL based on CSS for hypertext adaptation

“…Adaptation languages for AWBSs already exist [5,16,18,10,19,8,3,12] but they either do not capture all the adaptation techniques or do not do it in a way that is decoupled from the web system and easy to learn by developers.…”