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An Approach to Developing Adaptive Electronic Educational Course

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Book cover Cybernetics and Automation Control Theory Methods in Intelligent Algorithms (CSOC 2019)

Abstract

Modern information and telecommunication technologies allow not only to provide information required for training students in electronic form, they promote changes in educational process. The electronic information educational environment provides the necessary mechanism for implementing student’s individual trajectories of training. Depending on his or her learning progress the process can vary from basic to intensive, with changes in volumes of information provided. One of the approaches to developing an adaptive electronic educational course is described in this paper. The tree of concepts mastered by students is considered as a basis for knowledge component organization. The tree of concepts will allow not only to organize theoretical material of the course in the form of the separate blocks of educational information intended for studying but also to determine a necessary and sufficient set of questions for testing students.

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References

  1. Elliott, D., Hopfgartner, F., Leelanupab, T., Moshfeghi, Y., Jose, J.M.: An architecture for life-long user modelling. In: Lifelong User Modelling Workshop Held in Conjunction With User Modeling, Adaptation and Personalisation, Torento, Italy, pp. 1–8 (2009)

    Google Scholar 

  2. Nguyen, L., Do, P.: Learner model in adaptive learning, world academy of science. Eng. Technol. 45, 395–400 (2008)

    Google Scholar 

  3. Li, Q., Zhong, S., Wang, P., Guo, X., Quan, X.: Learner model in adaptive learning system. J. Inf. Comput. Sci. 7(5), 1137–1145 (2010)

    Google Scholar 

  4. You, D., Shen, L., Peng, S., Liu, J.: Flexible collaborative learning model in e-learning with personalized teaching materials. Adva. Intell. Soft Comput. 105, 127–131 (2011)

    Article  Google Scholar 

  5. Jia, B., Yang, Y., Zhang, J.: Study on learner modeling in adaptive learning system. J. Comput. (Finland) 7, 2585–2592 (2012)

    Google Scholar 

  6. Jia, B., Yang, Y., Zhang, J.: Representation and acquisition of feature value of learner model in adaptive learning system. Adv. Intell. Soft Comput. 122, 371–377 (2011)

    Article  Google Scholar 

  7. Bazhenova, K., Znamenskaya, O.: Teacher’s beliefs as a factor of individual progress of pupil. In.: European Proceedings of Social and Behavioural Sciences EpSBS, Kazan, Russia, pp. 100–108 (2017)

    Google Scholar 

  8. Hsu, W.-C., Li, C.-H.: A competency-based guided-learning algorithm applied on adaptively guiding e-learning. Interact. Learn. Environ. 23(1), 106–125 (2015)

    Article  Google Scholar 

  9. Op Den Akker, R., Hofs, D., Hondorp, H., Op Den Akker, H., Zwiers, J., Nijholt, A.: Supporting engagement and floor control in hybrid meetings. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), LNAI, vol. 5641, pp. 276–290 (2009)

    Google Scholar 

  10. Kondakov, N.I.: Logicheskij slovar’ [Logical dictionary]. Science, Moscow, Russia (1971)

    Google Scholar 

  11. ISO 5963:1985 Documentation: Methods of documents analysis, determinations of their subject and selection of indexing terms

    Google Scholar 

  12. Bazhenova, K.A.: Designing educational situations for bachelor students in Pedagogics Moscow University Bulletin, vol. 3, pp. 73–83 (2014)

    Google Scholar 

  13. Rus, V., D’Mello, S., Hu, X., Graesser, A.C.: Recent advances in conversational intelligent tutoring systems. AI Mag. 34(3), 42–54 (2013)

    Article  Google Scholar 

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Correspondence to R. Yu. Tsarev .

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Tsarev, R.Y. et al. (2019). An Approach to Developing Adaptive Electronic Educational Course. In: Silhavy, R. (eds) Cybernetics and Automation Control Theory Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 986. Springer, Cham. https://doi.org/10.1007/978-3-030-19813-8_34

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