Adaptive Hypermedia: Student modeling in e-learning systems
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1 Adaptive Hypermedia: Student modeling in e-learning systems Hauptseminar E-Learning Sommersemester 2008 Matthias Hoyer LFE Medieninformatik LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 1 / 13
2 Overview Definition User Data User Models Overlay Model Deviation Model Stereotype Model Adaption Techniques Architectures User Modeling Shell Systems Brusilovsky, 1996 User Modeling Servers Agent Based User Modeling Systems LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 2 / 13
3 Introduction What is an adaptive hypermedia system? All hypertext and hypermedia systems which reflect some features of the user in the user model and apply this model to adapt various visible aspects of the system to the user." Brusilovsky, 1996 Functions: Personalize communication Accelerate the learning process Plan lessons LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 3 / 13
4 User Data Indirect User`s Knowledge User`s Goals User`s Background User`s Experience Learning Speed User`s Preferences >> Danger of interpreted data. Often too unreliable for educational systems. Direct Excercises and Questionnaires Collaborative User Modeling: User can apply changes in his user model >> Danger of false input LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 4 / 13
5 User Models Overlay Model Precondition: Knowledge is represented in a domain model For each attribute of the user a attribute-value pair is saved Values can be qualitative, binary or quantitative Problem of finding an initial value Misconceptions can not be diagnosed Schneider,2006 Brusilovsky, 2003 LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 5 / 13
6 User Models Deviation Model Similar to Overlay Model Can diagnose Misconceptions Knowledge of the user is described as the difference from a expert`s knowledge LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 6 / 13
7 User Models Stereotype Model Affirms that the user belongs to a group of users Pure, mixed and multiple stereotypes Classification value can be binary or qualitative Gives a fast classification of a user Mixed Approach In the beginning the user is classified by a stereotype model Later the model changes to an overlay model for a more individualistic adaption LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 7 / 13
8 Adaption Techniques Adaptive Navigation Support Help the user to find the best way through hyperspace Techniques: Direct Guidance Link Sorting ( Hiding/Removing/Disabling ) Link Hiding Link Annotation Link Generation LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 8 / 13
9 Adaption Techniques Adaptive Content Adaptive Text Presentation Inserting/Removing Fragments Altering Fragments Stretchtext Sorting Fragments Dimming Fragments Adaptive Multimedia Presentation Sorting, Inserting or Removing File Size, Quality of the Media according to the output device LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 9 / 13
10 Architectures User Modeling Shell Systems No distinction between system components that served user modeling purposes and components that performed other tasks Helps the developer to manage the user model Example mechanisms: Stores the values coming from the system Compares it to the held assumptions Informs the application about recognized inconsistencies LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 10 / 13
11 Architectures User Modeling Servers Advantages: ( Control Security (e.g. Save Points of Access, Authentication, Access Share the same user model with many applications User can apply changes easily Lower costs for developing an AHS Disadvantages: Bottleneck Permanent connection is needed Transmission to the server is a security leak Mirror device in case of a breakdown LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 11 / 13
12 Architectures Agent Based User Modeling Systems Used in mobile devices System consists of independent and autonomous agents/services Interaction is more dynamical and not determined by design Mainly used for personalized and location based systems LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 12 / 13
13 The End Thank you for your attention. Any questions? LMU Munich Media Informatics Hauptseminar SS 2008 Matthias Hoyer Slide 13 / 13
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