Scientific Publications

2011
2.		Nazemi, Kawa; Breyer, Matthias; Stab, Christian; Burkhardt, Dirk; Fellner, Dieter W. Intelligent Exploration System - An Approach for User-Centered Exploratory Learning Proceedings Article In: Proceedings of Workshop of the EDEN Open Classroom 2011 Conference: Lifelong Learning in RURAL and Remote Areas, pp. 71–83, Pallini, Athens, Greece, 2011, ISBN: 978-960-473-323-1. Abstract \| Links \| BibTeX \| Tags: Information Visualization, Intelligent Tutoring Systems, Knowledge Discovery, Knowledge Exploration @inproceedings{Nazemi2018, title = {Intelligent Exploration System - An Approach for User-Centered Exploratory Learning}, author = {Kawa Nazemi and Matthias Breyer and Christian Stab and Dirk Burkhardt and Dieter W. Fellner}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2011openclassroom-ii.pdf, Paper as PDF}, doi = {10.5281/zenodo.3455885}, isbn = { 978-960-473-323-1}, year = {2011}, date = {2011-10-30}, booktitle = {Proceedings of Workshop of the EDEN Open Classroom 2011 Conference: Lifelong Learning in RURAL and Remote Areas}, pages = {71--83}, publisher = {Pallini}, address = {Athens, Greece}, abstract = {The following paper describes the conceptual design of an Intelligent Exploration System (IES) that offers a user-adapted graphical environment of web-based knowledge repositories, to support and optimize the explorative learning. The paper starts with a short definition of learning by exploring and introduces the Intelligent Tutoring System and Semantic Technologies for developing such an Intelligent Exploration System. The IES itself will be described with a short overview of existing learner or user analysis methods, visualization techniques for exploring knowledge with semantics technology and the explanation of the characteristics of adaptation to offer a more efficient learning environment.}, keywords = {Information Visualization, Intelligent Tutoring Systems, Knowledge Discovery, Knowledge Exploration}, pubstate = {published}, tppubtype = {inproceedings} } Close The following paper describes the conceptual design of an Intelligent Exploration System (IES) that offers a user-adapted graphical environment of web-based knowledge repositories, to support and optimize the explorative learning. The paper starts with a short definition of learning by exploring and introduces the Intelligent Tutoring System and Semantic Technologies for developing such an Intelligent Exploration System. The IES itself will be described with a short overview of existing learner or user analysis methods, visualization techniques for exploring knowledge with semantics technology and the explanation of the characteristics of adaptation to offer a more efficient learning environment. Close Paper as PDF doi:10.5281/zenodo.3455885 Close
2010
1.		Nazemi, Kawa; Breyer, Matthias; Stab, Christian; Burkhardt, Dirk; Fellner, Dieter W. Intelligent Exploration System - An Approach for User-Centered Exploratory Learning Proceedings Article In: Proceedings of the International Conference on Education and New Learning Technologies (EDULEARN 2010), pp. 6476–6484, IATED, Barcelona, Spain, 2010, ISSN: 2340-1117. Abstract \| Links \| BibTeX \| Tags: Adaptive Learning systems, Explorative Learning, Intelligent Learning Systems, Intelligent Tutoring Systems, Semantic Knowledge Visualizations @inproceedings{Nazemi2010b, title = {Intelligent Exploration System - An Approach for User-Centered Exploratory Learning}, author = {Kawa Nazemi and Matthias Breyer and Christian Stab and Dirk Burkhardt and Dieter W. Fellner}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2010edulearn-ii.pdf, Paper as PDF http://library.iated.org/view/NAZEMI2010INT, DigLib Site}, doi = {10.5281/zenodo.3457233}, issn = {2340-1117}, year = {2010}, date = {2010-07-01}, booktitle = {Proceedings of the International Conference on Education and New Learning Technologies (EDULEARN 2010)}, pages = {6476--6484}, publisher = {IATED}, address = {Barcelona, Spain}, series = {2nd International Conference on Education and New Learning Technologies}, abstract = {The recent technological developments in the area of social-networks and user generated content have already changed the learning behaviour of any learners. The exploration of knowledge through the world-wide-web using different content-provider, e.g. Wikipedia or IEEE Xplore plays a key role for researcher, students or knowledge workers. The usage of users’ knowledge or user generated content is a self-evident process within the working or learning workflow. Different approaches try to face the mass of information given in the WWW to support a more effective learning process, whereas semantic-technologies are a promising approach for organizing the knowledge. The formal knowledge descriptions like Ontologies used by Semantic Technologies only provide approaches to describe knowledge within a given and predefined knowledge-domain. The graphical representation of these domains provides another opportunity to explore the pre-engineered domain, whereas the learner with his individual learning aptitudes, learning behaviour and interests is not involved in the process of knowledge representation. The following paper describes the conceptual design of an Intelligent Exploration System (IES) that offers a user-adapted graphical environment of user generated web-based knowledge repositories, to support and optimize the explorative learning on web. The paper starts with a related work study followed by the comparative study of existing content-providing systems based on user generated content. The conceptual part of the paper will show how existing recommendation systems and interaction-analysis algorithms could be used to optimize both the content and the visual appearance of explorative knowledge visualizations. This part further shows actual results of graphical knowledge representations. The paper will be concluded with a case study of a knowledge worker in a research institution using the Intelligent Exploration System for his research work. }, keywords = {Adaptive Learning systems, Explorative Learning, Intelligent Learning Systems, Intelligent Tutoring Systems, Semantic Knowledge Visualizations}, pubstate = {published}, tppubtype = {inproceedings} } Close The recent technological developments in the area of social-networks and user generated content have already changed the learning behaviour of any learners. The exploration of knowledge through the world-wide-web using different content-provider, e.g. Wikipedia or IEEE Xplore plays a key role for researcher, students or knowledge workers. The usage of users’ knowledge or user generated content is a self-evident process within the working or learning workflow. Different approaches try to face the mass of information given in the WWW to support a more effective learning process, whereas semantic-technologies are a promising approach for organizing the knowledge. The formal knowledge descriptions like Ontologies used by Semantic Technologies only provide approaches to describe knowledge within a given and predefined knowledge-domain. The graphical representation of these domains provides another opportunity to explore the pre-engineered domain, whereas the learner with his individual learning aptitudes, learning behaviour and interests is not involved in the process of knowledge representation. The following paper describes the conceptual design of an Intelligent Exploration System (IES) that offers a user-adapted graphical environment of user generated web-based knowledge repositories, to support and optimize the explorative learning on web. The paper starts with a related work study followed by the comparative study of existing content-providing systems based on user generated content. The conceptual part of the paper will show how existing recommendation systems and interaction-analysis algorithms could be used to optimize both the content and the visual appearance of explorative knowledge visualizations. This part further shows actual results of graphical knowledge representations. The paper will be concluded with a case study of a knowledge worker in a research institution using the Intelligent Exploration System for his research work. Close Paper as PDF DigLib Site doi:10.5281/zenodo.3457233 Close