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XVIII International Conference on Data Science and Intelligent Analysis of Information

ICDSIAI 2018: Recent Developments in Data Science and Intelligent Analysis of Information pp 206–215Cite as

Use of Information Technologies to Improve Access to Information in E-Learning Systems

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 836)

Abstract

Various forms of training use e-learning systems. Existing e-learning systems do not have the ability to find information quickly in all the training courses that have been downloaded, which limits access to the information provided. Several commonly used search engines were researched to access the possibility of using them for efficient access to all materials presented in the e-learning system. Two e-learning systems EFront and Moodle were considered in terms of organization of the database structure. The EFront system is based on the database with clustered indices, and it was chosen for testing search engines. Use of an additional programming module connected to EFront system is proposed. This module would allow a full-text search of the information needed. During the research, two modules of full-text searching were considered. The Sphinx technology was selected as the most efficient one. Thus, the proposed solutions made it possible to expand the students’ ability to access the necessary educational information.

Keywords

  • e-learning systems
  • Database structure
  • Full-text search

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Notes

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References

  1. Vilorio, D.: STEM 101: Intri to tomorrow’s jobs. Bureau of Labor Statistics (BLS), US (2014)

    Google Scholar 

  2. Andrews, M., Manning, N.: Peer learning in public sector reforms. Effective Institutions Platform (EIP), Paris (2015)

    Google Scholar 

  3. Hryhorova, T., Lyashenko, V., Kalinichenko, D.: Approaches for implementation of distance learning in higher education. In: Digests 38 International Convention on Information and Communication Technology, Electronics and Microelectronics “MIPRO 2015”, 25–29 May, Opatija, Croatia, pp. 1070–1074 (2015)

    Google Scholar 

  4. Staker, H., Horn, M.B.: Classifying K-12 Blended learning. Innosight Institute, CA (2012)

    Google Scholar 

  5. Shamsi, K.N., Khan, Z.I.: Development of an e-learning system incorporating semantic web. Int. J. Res. Comput. Sci. 2(5), 11–14 (2012)

    CrossRef  Google Scholar 

  6. Cioloca, C., Georgescu, M.: Increasing database performance using indexes. Database Syst. J. II(2/2011), 13–22 (2011)

    Google Scholar 

  7. Lincheng, S.: A large-scale full-text search engine using DotLuence. In: Proceedings of the 3rd International Conference on Communication Software and Networks, IEEE Conferences, pp. 793–795 (2011)

    Google Scholar 

  8. Arjun Atreya, V., Chaudhari, S., Bhattacharyya, P., Ramakrishnan, G.: Building multilingual search index using open source framework. In: Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing (SANLP), Mumbai, India, pp. 201–210, December 2012

    Google Scholar 

  9. Kuć, R.: Solr Cookbook, 3rd edn. Packt Publishing LTD, Birmingham (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Kremenchuk Mykhailo Ostohradskyi National University, Kremenchuk, Ukraine

    Tetiana Hryhorova & Oleksandr Moskalenko

Authors
  1. Tetiana Hryhorova
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  2. Oleksandr Moskalenko
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Corresponding author

Correspondence to Tetiana Hryhorova .

Editor information

Editors and Affiliations

  1. Applied Mathematics Department, Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine

    Oleg Chertov

  2. Department of Economics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

    Tymofiy Mylovanov

  3. Department of Intelligent Information Systems, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

    Yuriy Kondratenko

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  5. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  6. Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia

    Vadim Stefanuk

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Hryhorova, T., Moskalenko, O. (2019). Use of Information Technologies to Improve Access to Information in E-Learning Systems. In: Chertov, O., Mylovanov, T., Kondratenko, Y., Kacprzyk, J., Kreinovich, V., Stefanuk, V. (eds) Recent Developments in Data Science and Intelligent Analysis of Information. ICDSIAI 2018. Advances in Intelligent Systems and Computing, vol 836. Springer, Cham. https://doi.org/10.1007/978-3-319-97885-7_21

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