Anton Andrejko

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Students who use educational web-based applications aim at learning knowledge in chosen area. However, their level of knowledge and interests are different. For effective learning it is necessary to provide an individual approach to each student. Educational application should recommend students learning materials that are easily understandable according(More)
The Web represents an information space where the amount of information grows exponentially. This calls for personalized interaction between users and web-based information systems providing information. Current systems provide a certain level of personalization, which allows the user to set up her preferences manually. Improved efficiency of information(More)
In this paper we describe an application of open source adaptive hypermedia system called AHA! for learning programming. We present models for adaptive hypermedia systems targeted at the AHA! architecture. Our approach to learning programming is based on adaptive presentation of program examples that serve as program exercises related to particular(More)
We present a novel method for instance comparison of ontological concepts with regard to personalized content presentation and/or navigation in large information spaces. We assume that comparing properties of documents which users found interesting leads to discovery of information about users' interests specifically when considering Semantic Web(More)
Learners have different knowledge, interests and also goals in any educational process. If all the learners are provided the same content the process will probably not meet expected goals. A personalized approach to a learner increases the efficiency of the learning process. It is based on information about the learner that is subject of change. Several(More)
The increasing number of Semantic Web applications that work with ontologies implies an increased need for building ontological knowledge bases. In order to improve ontologies during their development as well as to allow applications to be experimentally evaluated prior to their complete implementation and deployment, ontology bases must be filled with(More)
IVIany current web-based information systems need to adapt to individual user characteristics in order to streamline common tasks and enable users to use them efficiently. In this paper we describe an approach to user characteristics acquisition based on automatic analysis of user behavior thus minimizing the amount of necessary user involvement. We stress(More)
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