Abstract
This paper presents the features of an educational and methodological resource complex for students with special needs (disabilities). Approaches to the organization of the learning process of students with disabilities are considered. Different methods and techniques are proposed to deliver lectures, conduct practical and laboratory classes. The administrative environment of the virtual lab is given. The structure of a laboratory-working place and the schema of laboratory practice are build. A system of testing, which allows the generation of questions and selection of teaching material on the basis of analysis of answers and previous knowledge of the students has been developed.
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References
Luppicini, R.: A systems definition of educational technology in society. Educ. Technol. Soc. 8(3), 103–109 (2005)
Oleksiv, I., Izonin, I., Kharchuk, V., Tkachenko, R., Doroshenko, A.: Identification of IT sector stakeholder’s requirements to masters program in information system in Lviv region. In: Proceedings of the Ph.D. Symposium at 14th International Conference on ICT in Education, Research, and Industrial Applications ICTERI 2018, Kyiv, Ukraine, 16 May 2018, pp. 429–437 (2018)
Galeev, I., Sosnovsky, S., Chepegin, V.: MONAP-II: the analysis of quality of the learning process model. In: Proceedings of IEEE International Conference on Advanced Learning Technologies (ICALT 2002), pp. 9–12, September 2002
Ananthanarayan, A., Balachandran, R., Grossman, R., Gu, Y., Hong, X., Levera, J., Mazzucco, M.: Data webs for earth science data. Paral. Comput. 29(10), 1363–1379 (2003)
Greenagel, F.L.: The Illusion of e-Learning: Why We Are Missing Out on the Promise of Technology. League White Papers (2002)
Kasperskyi, A.: System of Knowledge Development in the Field of Electronics in a Secondary and Higher Pedagogical School. Drahomanov National Pedagogical University, Kyiv (2002). (Ukrainian)
Vysotska, V.: Linguistic analysis of textual commercial content for information resources processing. In: 2016 13th International Conference on Modern Problems of Radio Engineering. Telecommunications and Computer Science (TCSET), pp. 709–713. IEEE, February 2016
Roussel, N., Geiker, M.R., Dufour, F., Thrane, L.N., Szabo, P.: Computational modeling of concrete flow: general overview. Cement Concr. Res. 37(9), 1298–1307 (2007)
Shakhovska, N., Vovk, O., Hasko, R., Kryvenchuk, Y.: The method of big data processing for distance educational system. In: Conference on Computer Science and Information Technologies, pp. 461–473. Springer, Cham, September 2017
Bobalo, Y., Mandziy, B., Stakhiv, P., Pysarenko, L., Yakymenko, Y.: Fundamentals of the theory of electronic circuits, 332 p. Publishing House of Lviv Polytechnic National University (2008). (Ukrainian)
Hasko, R., Shakhovska, N.: Tripled learning: conception and first steps applications. In: Proceedings of the Ph.D. Symposium at 14th International Conference on ICT in Education, Research, and Industrial Applications, ICTERI 2018, Kyiv, Ukraine, 16 May, pp. 481–484, May 2018
Nadeem, F., Mahgoub, S.: Student-centered role-based case study model to improve learning in decision support systems. Int. J. Modern Educ. Comput. Sci. (IJMECS) 6(10), 16–22 (2014). https://doi.org/10.5815/ijmecs.2014.10.03
Bobalo, Y., Stakhiv, P., Shakhovska, N.: Features of an eLearning software for teaching and self-studying of electrical engineering. In: 2015 16th International Conference on Computational Problems of Electrical Engineering (CPEE), pp. 7–9. IEEE, September 2015
Lashayo, D.M., Johar, M.G.M.: Preliminary study on multi-factors affecting adoption of e-learning systems in universities: a case of open University of Tanzania (OUT). Int. J. Modern Educ. Comput. Sci. (IJMECS) 10(3), 29–37 (2018). https://doi.org/10.5815/ijmecs.2018.03.04
Mohamed, S., Chebbi, M., Behera, S.K.: AMMAS: ambient mobile multi-agents system: simulation of the m-learning. Int. J. Modern Educ. Comput. Sci. (IJMECS) 9(1), 36–42 (2017). https://doi.org/10.5815/ijmecs.2017.01.04
Pal, S.K., Bhowmick, S.: Evaluation framework for disabled students based on speech recognition technology. Int. J. Modern Educ. Comput. Sci. (IJMECS) 9(10), 10–17 (2017). https://doi.org/10.5815/ijmecs.2017.10.02
Dominic, M., Xavier, B.A., Francis, S.: A framework to formulate adaptivity for adaptive e-learning system using user response theory. Int. J. Modern Educ. Comput. Sci. (IJMECS) 7(1), 23–30 (2015). https://doi.org/10.5815/ijmecs.2015.01.04
Shakhovska, N.: Consolidated processing for differential information products. In: 2011 Proceedings of VIIth International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH), pp. 176–177. IEEE, May 2011
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Bobalo, Y., Stakhiv, P., Shakhovska, N., Hamola, O. (2020). Electrical Engineering Disciplines Teaching System for Students with Special Needs. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education II. ICCSEEA 2019. Advances in Intelligent Systems and Computing, vol 938. Springer, Cham. https://doi.org/10.1007/978-3-030-16621-2_55
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