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An Investigation of User Behavior in Educational Platforms Using Temporal Concept Analysis

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Formal Concept Analysis (ICFCA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10308))

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Abstract

In this paper, we focus on the problem of investigating user behavior using conceptual structures distilled from weblogs of an educational e-platform. We define a set of so-called attractors as sets of scales in conceptual time systems and compute user life tracks in order to highlight different types of behaviors. These life tracks can give valuable feedback to the instructor how his students are using the online educational resources, analyzing their behavior and extracting as much knowledge as possible from the log access files. This might also be helpful to analyze the usability of the online educational content, eventually for improving the structure of the platform and to develop new educational instruments.

Diana Şotropa was supported by Tora Trading Services private scholarship.

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Notes

  1. 1.

    www.circos.ca.

  2. 2.

    https://sourceforge.net/projects/toscanaj/.

References

  1. Wille, R.: Conceptual landscapes of knowledge: a pragmatic paradigm for knowledge processing. In: Gaul, W., Locarek-Junge, H. (eds.) Classification in the Information Age. Studies in Classification, Data Analysis, and Knowledge Organization, pp. 344–356. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  2. Dragos, S.: PULSE extended. In: The Fourth International Conference on Internet and Web Applications and Services, pp. 510–515. IEEE Computer Society, Venice/Mestre, May 2009

    Google Scholar 

  3. Romero, C., Espejo, P.G., Zafra, A., Romero, J.R., Ventura, S.: Web usage mining for predicting final marks of students that use moodle courses. Comput. Appl. Eng. Educ. 21(1), 135–146 (2013)

    Article  Google Scholar 

  4. Dragos, S., Halita, D., Sacarea, C.: Behavioral pattern mining in web based educational systems. In: Rozic, N., Begusic, D., Saric, M., Solic, P. (eds.) 23rd International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2015, Split, Croatia, 16–18 September 2015, pp. 215–219. IEEE (2015). http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7303284

  5. Dragos, S., Sacarea, C.: Analysing the usage of pulse portal with formal concept analysis. Studia Universitatis Babes-Bolyai Series Informatica LVII(3), 65–75 (2012)

    Google Scholar 

  6. Dragos, S., Halita, D., Sacarea, C., Troanca, D.: An FCA grounded study of user dynamics through log exploration. Studia Universitatis Babes-Bolyai Series Informatica 2, 82–97 (2014)

    MathSciNet  Google Scholar 

  7. Becker, P., Correia, J.H.: The ToscanaJ suite for implementing conceptual information systems. In: Ganter, B., Stumme, G., Wille, R. (eds.) Formal Concept Analysis. LNCS, vol. 3626, pp. 324–348. Springer, Heidelberg (2005). doi:10.1007/11528784_17

    Chapter  Google Scholar 

  8. Dragoş, S., Haliţă, D., Săcărea, C., Troancă, D.: Applying triadic FCA in studying web usage behaviors. In: Buchmann, R., Kifor, C.V., Yu, J. (eds.) KSEM 2014. LNCS, vol. 8793, pp. 73–80. Springer, Cham (2014). doi:10.1007/978-3-319-12096-6_7

    Google Scholar 

  9. Dragoş, S., Haliţă, D., Săcărea, C.: Attractors in web based educational systems a conceptual knowledge processing grounded approach. In: Zhang, S., Wirsing, M., Zhang, Z. (eds.) KSEM 2015. LNCS, vol. 9403, pp. 190–195. Springer, Cham (2015). doi:10.1007/978-3-319-25159-2_18

    Chapter  Google Scholar 

  10. Dragoş, S.-M., Haliţă, D.-F., Săcărea, C.: Distilling conceptual structures from weblog data using polyadic FCA. In: Haemmerlé, O., Stapleton, G., Faron Zucker, C. (eds.) ICCS 2016. LNCS, vol. 9717, pp. 151–159. Springer, Cham (2016). doi:10.1007/978-3-319-40985-6_12

    Google Scholar 

  11. Dragos, S., Halita, D., Troanca, D.: Investigating trend-setters in e-learning systems using polyadic formal concept analysis and answer set programming. In: The 4th International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), New York, USA, pp. 42–48, July 2016

    Google Scholar 

  12. Dragos, S., Halita, D., Sacarea, C.: Analysing the effect of changing the educational methods by using FCA. In: 24th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2016, Split, Croatia, 22–24 September 2016, pp. 1–5. IEEE (2016). http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7754733

  13. Dieberger, A.: Supporting social navigation on the world wide web. Int. J. Hum.-Comput. Stud. 46(6), 805–825 (1997)

    Article  Google Scholar 

  14. Beydoun, G., Kultchitsky, R., Manasseh, G.: Evolving semantic web with social navigation. Expert Syst. Appl. 32(2), 265–276 (2007)

    Article  Google Scholar 

  15. Gonçalves, B., Ramasco, J.J.: Human dynamics revealed through web analytics. CoRR, vol. abs/0803.4018 (2008). http://arxiv.org/abs/0803.4018

  16. Norguet, J., Tshibasu-Kabeya, B., Bontempi, G., Zimányi, E.: A page-classification approach to web usage semantic analysis. Eng. Lett. 14(1), 120–126 (2007)

    Google Scholar 

  17. Kosala, R., Blockeel, H.: Web mining research: a survey. SIGKDD Explor. 2(1), 1–15 (2000)

    Article  Google Scholar 

  18. Srivastava, J., Cooley, R., Deshpande, M., Tan, P.: Web usage mining: discovery and applications of usage patterns from web data. SIGKDD Explor. 1(2), 12–23 (2000)

    Article  Google Scholar 

  19. Macfadyen, L.P., Dawson, S.: Numbers are not enough. Why e-learning analytics failed to inform an institutional strategic plan. Educ. Technol. Soc. 15(3), 149–163 (2012)

    Google Scholar 

  20. Spiliopoulou, M., Faulstich, L.C.: WUM: a tool for web utilization analysis. In: Atzeni, P., Mendelzon, A., Mecca, G. (eds.) WebDB 1998. LNCS, vol. 1590, pp. 184–203. Springer, Heidelberg (1999). doi:10.1007/10704656_12

    Chapter  Google Scholar 

  21. Romero, C., Ventura, S., Zafra, A., de Bra, P.: Applying web usage mining for personalizing hyperlinks in web-based adaptive educational systems. Comput. Educ. 53(3), 828–840 (2009)

    Article  Google Scholar 

  22. Peña-Ayala, A.: Educational data mining: a survey and a data mining-based analysisof recent works. Expert Syst. Appl. 41(4), 1432–1462 (2014)

    Article  Google Scholar 

  23. Romero, C., Ventura, S.: Data mining in education. Wiley Interdisc. Rev.: Data Min. Knowl. Discov. 3(1), 12–27 (2013)

    Google Scholar 

  24. Liebowitz, J., Frank, M.: Knowledge Management and e-Learning. CRC Press, Boca Raton (2010)

    Book  Google Scholar 

  25. Jo, I.-H., Park, Y., Kim, J., Song, J.: Analysis of online behavior and prediction of learning performance in blended learning environments. Educ. Technol. Int. 15(2), 71–88 (2014)

    Google Scholar 

  26. Dragoş, S.-M.: Why Google analytics cannot be used for educational web content. In: 2011 7th International Conference on Next Generation Web Services Practices (NWeSP), pp. 113–118. IEEE (2011)

    Google Scholar 

  27. Wolff, K.E.: Temporal concept analysis. In: ICCS-2001 International Workshop on Concept Lattices-Based Theory, Methods and Tools for Knowledge Discovery in Databases, pp. 91–107. Stanford University, Palo Alto (2001)

    Google Scholar 

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Authors and Affiliations

  1. Babeş-Bolyai University, Cluj-Napoca, Romania

    Sanda-Maria Dragoş, Christian Săcărea & Diana-Florina Şotropa

Authors
  1. Sanda-Maria Dragoş
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  2. Christian Săcărea
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  3. Diana-Florina Şotropa
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Corresponding author

Correspondence to Sanda-Maria Dragoş .

Editor information

Editors and Affiliations

  1. Université de La Rochelle, La Rochelle, France

    Karell Bertet

  2. Institute of Theoretical Computer Science, Technische Universität Dresden, Dresden, Germany

    Daniel Borchmann

  3. Université de Rennes, Rennes, France

    Peggy Cellier

  4. Université de Rennes, Rennes, France

    Sébastien Ferré

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Dragoş, SM., Săcărea, C., Şotropa, DF. (2017). An Investigation of User Behavior in Educational Platforms Using Temporal Concept Analysis. In: Bertet, K., Borchmann, D., Cellier, P., Ferré, S. (eds) Formal Concept Analysis. ICFCA 2017. Lecture Notes in Computer Science(), vol 10308. Springer, Cham. https://doi.org/10.1007/978-3-319-59271-8_8

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  • DOI: https://doi.org/10.1007/978-3-319-59271-8_8

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