Abstract
Interactive visualization, used to represent and interpret input data, makes it possible to employ visual perception potential to search for and resolve internal contradictions in the studied data, the source of which in many cases is errors made during the development of the program. The purpose of visual analytics in this study is to identify contradictions in the design of an educational process, provided by the curriculum, and to form students’ meaningful variable and individual educational trajectories.
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References
Barrett, H.: Perceptual measures for effective visualizations. In: Proceedings of Visualization 1997 (Cat. No. 97CB36155), pp. 515–517 (1997)
Batch, A., Elmqvist, N.: The interactive visualization gap in initial exploratory data analysis. IEEE Trans. Vis. Comput. Graph. 24(1), 278–287 (2018)
Chen, C.: An information-theoretic view of visual analytics. IEEE Comput. Graph. Appl. 28, 18–23 (2008)
Matsushita, M., Kato, T.: Interactive visualization method for exploratory data analysis, pp. 671–676. IEEE Computer Society (2001)
Pirolli, P., Card, S.: The sense making process and leverage points for analyst technology as identified through cognitive task analysis. In: Proceedings of International Conference on Intelligence Analysis, pp. 2–4 (2005)
Podvesovskii, A., Isaev, R.: Visualization metaphors for fuzzy cognitive maps. Sci. Vis. 10(4), 13–29 (2018)
Rogowitz, B.E., Treinish, L.A.: How not to lie with visualization. Comput. Phys. 10(3), 268–273 (1996)
Shannon, C.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379–423 (1948)
Shklyar, A.: Visual modeling in an analysis of multidimensional data. J. Phys: Conf. Ser. 944(1), 125–128 (2018)
Shklyar, A., Zakharova, A., Vekhter, E.: The applicability of visualization tools in the meta-design of an educational environment. Eur. J. Contemp. Educ. 8(1), 4–24 (2019)
Shklyar, A., Zakharova, A.: Visualization metaphors. Sci. Vis. 2(5), 16–24 (2013)
Van Wijk, J.: The value of visualization, 11 p (2005)
Vieira, C., Parsons, P., Byrd, V.: Visual learning analytics of educational data: a systematic literature review and research agenda. Comput. Educ. 122, 119–135 (2018)
Acknowledgment
This work has been supported the Ministry of Education and Science of the Russian Federation by the Grant No. 2.1642.2017/4.6.
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Zakharova, A.A., Krysko, A., Vekhter, E., Shklyar, A. (2019). Meta-design of Processes Based on Visualization Tools. In: Kravets, A., Groumpos, P., Shcherbakov, M., Kultsova, M. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2019. Communications in Computer and Information Science, vol 1083. Springer, Cham. https://doi.org/10.1007/978-3-030-29743-5_19
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