aservice-orientedapproachforimplementinganadaptationengine为适应引擎实现面向服务的方法.ppt

1、09 10 April,eLSE2009,1,A SERVICE-ORIENTED APPROACH FOR IMPLEMENTING AN ADAPTATION ENGINE FOR E-LEARNING,Dessislava Vassileva, Boyan Bontchev Department of Software Engineering, Sofia University “St. Kliment Ohridski”, BULGARIA,09 -10 April,eLSE2009,2,Agenda,Introduction to adaptive e-learning system

2、s Our triangular conceptual model of AHS Workflow of adaptive courseware delivery Adaptive rules Service-oriented architecture Conclusions and further work,09 -10 April,eLSE2009,3,Introduction to adaptive e-learning systems types of adaptation,What is adapted? Contents Sequencing User interface Deli

3、very channel What else? How it is adapted? To different technology platforms used To different learner characters (based on a learner model),09 -10 April,eLSE2009,4,attempt to be different for different students and groups of students attempt to be more adaptive by building a model of the goals, pre

4、ferences, knowledge and performance of each individual student (user/learner model) and using this model throughout the interaction with the student in order to adapt to the needs of that student,Introduction to adaptive e-learning systems definition,09 -10 April,eLSE2009,5,Introduction to adaptive

5、e-learning systems techniques,Adaptive navigation link hiding, sorting, annotation Adaptive presentation - content of a page according to learners knowledge, goals, preferences, performance and etc. Adaptive content selection show, sort or hide search result content Adaptive problem solution Adaptiv

6、e user interface,09 -10 April,eLSE2009,6,A triangular conceptual model of AHS 1/2,09 -10 April,eLSE2009,7,A triangular conceptual model of AHS 2/2,09 -10 April,eLSE2009,8,A sample course storyboard graph,09 -10 April,eLSE2009,9,General process workflow,09 -10 April,eLSE2009,10,Activity workflow of t

7、he adaptation process,09 -10 April,eLSE2009,11,Rules controlling the adaptation process,Three main groups: starting rules - these rules describe learner knowledge and the initial conditions for starting a new course pass-through graph rules consist of rules for the graph crawling rules updating lear

8、ner model - related to learner knowledge and performance Example: k(user_performance(useri, subjectj, control_pointk, pass) next_cp_path(useri, subjectj, control_pointk),09 -10 April,eLSE2009,12,Service-oriented architecture 1/2,09 -10 April,eLSE2009,13,Service-oriented architecture 2/2,09 -10 April,eLSE2009,14,Conclusions,Future improvement: Tuning adaptation mechanism Introducing learner feedback at control points and using it for adaptation control: for adaptive navigation for adaptive content selection Artificial intelligence in adaptation algorithm Moni