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KPI Science News
ISSN 2617-5509 · e‑ISSN 2663-7472 Open Access · CC BY 4.0
Vol. · Issue 2 · 2019 May 17, 2019 article

INTERACTIVE CONCEPT MAPS IN ONTOLOGY-ORIENTED INFORMATION AND LEARNING WEB-SYSTEMS

ST
Sergiy V. Tytenko Corresponding Igor Sikorsky Kyiv Polytechnic Institute, Ukraine Ukraine
PublishedMay 17, 2019
PDF (Ukrainian)
KPISN 2 VOL · 2
VOL · ISS 2 · 2019 View issue

Abstract

Background. Information and learning portals should be built by creating an ontological-oriented model of educational content, which involves information formalization, ontological domain modeling and didactic function, which provides representation and visualization of the requested educational information. Since graph visualization of educational information increases the efficiency of its learning, there is a need for consideration and analysis of concept maps and subsequent study of the means of their automated construction with the purpose of expanding the functionality of information and educational web environments. Objective. The purpose is to analyze the relevance of graph visualizations of domains and to develop an automated method for constructing interactive concept maps in ontology-oriented educational web systems. The task is to automate the construction of relations between concepts and to provide convenient display of graphs for users of the educational web system with the use of content formalization based on the concept-thesis model. Methods. A method for constructing the didactic decomposition of the concepts of content segments in the form of a graph with the use of selective rendering visualization, representing the relationship between the concepts of concept-thesis model, is proposed. Results. The presented method provides information and educational content visualization in the form of a map, implements an interactive display of natural-language information about the chosen concept and the search for concepts in the graph with navigation to the target concept. A software system has been created that implements the proposed method for constructing interactive concept maps. Conclusions. The system for constructing interactive concept maps has received positive feedback from users as a convenient means of visualizing new information for study. Among the perspective directions of development of the proposed system are optimization of algorithms and minimization of computing load on all system links in the problem of constructing and using interactive concept maps.

Keywords

#Concept map #Ontology in education #Educational system #Information and learning portal

References

  1. S.V. Tytenko, “Ontology-oriented content management system of information and learning web-portals”, Educational Technology & Society , vol. 15, no. 3, pp. 522-533, 2012.
  2. T.L. Naps et al. , “Exploring the role of visualization and engagement in computer science education”, ACM Sigcse Bulletin , vol. 35, no. 2, 2002. doi: 10.1145/960568.782998
  3. S. Puntambekar et al. , “Improving navigation and learning in hypertext environments with navigable concept maps”, Human - Computer Interaction , vol. 18, no. 4, pp. 395–428, 2003. doi: 10.1207/S15327051HCI1804_3
  4. E. Andres et al. , “An adaptive Theory of Computation online course in ActiveMath”, in Proc. 5th Int . Conf . Computer Science & Education , 2010, pp. 317–322. doi: 10.1109/ICCSE.2010.5593624
  5. M.L. Hollingsworth and N.H. Narayanan, “Building a better eTextbook”, Bulletin of the IEEE Technical Committee on Learning Technology . vol. 18, no. 2/3, pp. 14–17, 2016.
  6. J. Barria-Pineda et al. , “Concept-level knowledge visualization for supporting self-regulated learning”, in Proc. 22nd Int . Conf . Intelligent User Interfaces Companion – IUI 17 Companion , ACM, 2017, pp. 141–144. doi:10.1145/3030024.3038262
  7. Shimada et al. , “A meaningful discovery learning environment for e-book learners”, in Proc. 2017 IEEE Global Engineering Education Conference (EDUCON) , 2017, pp. 1158–1165. doi: 10.1109/EDUCON.2017.7942995
  8. D. Dicheva and C. Dichev, “TM4L: Creating and browsing educational topic maps”, British J . Educational Technol . , vol. 37, no. 3, pp. 391–404, 2006. doi: 10.1111/j.1467-8535.2006.00612.x
  9. T. Buzan, Use Both Sides of Your Brain: New Mind-Mapping Techniques . New York: Plume, 1991.
  10. B.K. Sarker et al. , “Some observations on mind map and ontology building tools for knowledge management”, Ubiquity , vol. 2008, Article 2, 2008. doi: 10.1145/1366313.1353570
  11. S. Pastorino. (2019). Rails 4 in a MindNode [Online]. Available: https://wyeworks.com/blog/2012/9/20/rails-4-in-a-mindnode
  12. S.V. Tytenko, “Construction of didactic ontology based on the analysis of concept-thesis model elements”, Naukovi Visti NTUU KPI , no. 1, pp. 82–87, 2010.
  13. S.V. Tytenko and O.O. Gagarin, “Problem of knowledge modeling in intelligent learning systems”, in Proc. T .A. Taran Int. Sci. Conf. Intelligent Analysis of Information ’2009 , Kyiv, 2009, pp. 384–390.
  14. D. McArthur et al. , “The roles of artificial intelligence in education: current progress and future prospects”, J . Educational Technol . , vol. 1, no. 4, pp. 42–80, 2005. doi: 10.26634/jet.1.4.972
  15. S.V. Tytenko “Test tasks generation in the distance learning system on the basis of didactic text formalization model”, Naukovi Visti NTUU KPI , no. 1, pp. 47–57, 2009.
  16. B.G. Buchanan et al . , Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project . Reading, MA: Addison-Wesley, 1984.
  17. Pozvonochnik [Online]. Available: http://pozvonochnik.org/
  18. Semantic Portal [Online]. Available: http://semantic-portal.net/
  19. SET Laboratory [Online]. Available: http://setlab.net/
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