Knowledge Representation and Reasoning in Personalized Web-Based e-Learning Applications

作者: Peter Dolog

DOI:

关键词: Reasoning systemAdaptation (computer science)Model-based reasoningHuman–computer interactionKnowledge managementE-learning (theory)Knowledge representation and reasoningOpen Knowledge Base ConnectivityProcedural knowledgeComputer scienceBody of knowledge

摘要: Adaptation that is so natural for teaching by humans a challenging issue electronic learning tools. in classic based on observations made about students during teaching. Similar idea was employed user-adapted (personalized) eLearning applications. Knowledge user inferred from interactions with the eLeanrning systems used to adapt offered resources and guide learner through them. This keynote gives an overview knowledge rules taken into account current adaptive prototypes when adapting instructions. usually users. Rules are heuristics match learners infer adaptation decisions.

参考文章(7)
Peter van Rosmalen, Jesús Boticario, Using Learning Design to Support Design and Runtime Adaptation Springer, Berlin, Heidelberg. pp. 291- 301 ,(2005) , 10.1007/3-540-27360-3_18
Peter Dolog, Nicola Henze, Wolfgang Nejdl, Michael Sintek, Personalization in distributed e-learning environments the web conference. pp. 170- 179 ,(2004) , 10.1145/1013367.1013395
Brendon Towle, Michael Halm, Designing Adaptive Learning Environments with Learning Design Springer, Berlin, Heidelberg. pp. 215- 226 ,(2005) , 10.1007/3-540-27360-3_12
Peter Dolog, Michael Schäfer, A framework for browsing, manipulating and maintaining interoperable learner profiles Lecture Notes in Computer Science. pp. 397- 401 ,(2005)