1. Mastering Adaptive Hypermedia Courseware Authors: Boyan Bontchev, Dessislava Vassileva, Slavomir Grigorov ICETA 2008

2. Content Introduction Contemporary e-learning tendencies A triangular model for AHS The learner model The domain model The adaptation model The adaptation engine Software architecture of adaptive hypermedia system Construction of hypermedia courseware for adaptive delivery The authoring tool The instructor tool The adaptation engine and learner app. Conclusions 2ICETA 2008, September 12

3. Introduction What is e-learning? … is a catch-all term that covers a wide range of instructional material that can be delivered on a CD-ROM or DVD, over a local area network (LAN), or on the Internet. … is an umbrella term that describes learning done at a computer, usually connected to a network, giving us the opportunity to learn almost anytime, anywhere. … is the delivery of a learning, training or education program by electronic means. E-learning involves the use of a computer or electronic device (e.g. a mobile phone) in some way to provide training, educational or learning material. (Derek Stockley 2003) 3ICETA 2008, September 12

4. Introduction Why e-learning? Communication and multimedia technologies Flexibility - anywhere, anytime Student’s demand of e-learning 4ICETA 2008, September 12

5. Contemporary e-learning tendencies Growing usage Web based applications Adaptation to user (Adaptive Hypermedia Systems) 5ICETA 2008, September 12

6. A triangular model of AHS Storyboard Rules Narrative Storyboard Narrative Metadata Adaptation Engine Learning Style Goals and Preferences Knowledge & Performance Content Groups Content Metadata Adaptation Model Learner Model Domain Model The learner model The domain model The adaptation model The adaptation engine 6ICETA 2008, September 12

7. The learner model Goals and Preferences Learning Style Shown knowledge (Performance) 7ICETA 2008, September 12

8. The domain model Granulation of learning materials into Learning objects (LO), (SCORM standard) Content metadata (LOM) Ontology tree 8ICETA 2008, September 12

9. The adaptation model Storyboard graph Learning nodes (pages) Possible paths Control points Link annotations Exam thresholds LO parameters WP2 WP1 WP3 CP1 CP2 P1 P5 P6 P2 P4P3 P7 9ICETA 2008, September 12

10. The adaptation engine Evaluating user preferences (prediction) Making decision, which path to chose for the user (content selection) Hiding uninteresting content and links Using scaled annotations for links 10ICETA 2008, September 12

11. Construction of hypermedia courseware for adaptive delivery Instructor (author of the courses) Author of the LOs Learning content LOs representation description Content delivery Student 11ICETA 2008, September 12

12. Software architecture of adaptive hypermedia system Clients Author Instructor Learner Administrator Client specific services Business API Adaptation engine Database 12ICETA 2008, September 12

13. The authoring tool Content – LO (Text, Image, Audio, Video) LO Metadata (LOM) Test questions associated to LO XML format is supported Web based application In use as standalone ARCADE Platform 13ICETA 2008, September 12

14. The instructor tool Courses Learning pages – setting LOs Exam (control points) Links RIA Adobe Flex application 14ICETA 2008, September 12

15. The adaptation engine and learner app. Chose work path according to the learners goals and preferences (Content selection) Adjust page for delivery (content hiding, link annotation, link hiding) – generate xsl transformation. Exam handling S = 45 S = 35 S = 20 S = 70 S = 45 15ICETA 2008, September 12

16. Conclusions Authors and instructors are mastering adaptive content Future improvement: Scanning user interaction Artificial intelligence in AE algorithm Authoring tool - cross-platform interoperability 16ICETA 2008, September 12

17. Questions 17ICETA 2008, September 12 Boyan Bontchev: bbontchev@fmi.uni-sofia.bg Dessislava Vassileva: ddessy@gmail.com Slavomir Grigorov: slavogri@gmail.com

18. Thank You for attention ICETA 2008, September 12