THE TECHNOLOGIES FOR ANALYSIS AND VISUALIZATION OF THE MULTIDIMENSIONAL PEDAGOGICAL MONITORING DATA IN HIGHER EDUCATION
Abstract
The relevance of such a problem as creating the technologies for the analysis and visualization of multidimensional pedagogical monitoring data is determined by the need to adapt higher education to the conditions of digital transformation of society. The concept of digital economy provides for the cross-cutting digitalization of all the institutions and structures of society and their integration into a single ecosystem. The paper shows that education is one of the most important institutions of society in which there are changes or digital transformations. A digital transformation in education is considered as a way of adapting the industry to rapidly changing conditions. It is proved that in order to train the competitive specialists in various fields of the economy, the pedagogical technologies also need to change and the existing digital technologies must be introduced into the education process. The article presents an algorithm developed by the authors for analyzing and visualizing a big array of quantitative and qualitative pedagogical monitoring data with the possibility of constructing forecast models. The leading methods for investigating the problem are methods of included observation, pedagogical experiment and methods of mathematical statistics. The result of the work is a technology that allows the teacher to process heterogeneous pedagogical monitoring data and visualize them in a user-friendly form. The results are the results of the optimal pedagogical management. The result of the work is the created technology that allows the teacher to make a decision and realize the optimal pedagogical management. The combination of technology with the capabilities of computers and communications technologies makes it possible to successfully apply it in the framework of conducting mass on-line courses. The materials of the article can be useful for teachers of higher educational institutions.
References
[2] Saudabaeva G., Tymbolova A., Kolumbaeva S., Aitzhanova R., Bodeev M. Monitoring of the Educational Process During the Pedagogical Practical Training in School. International Journal of Environmental and Science Education. 2016; 11(10):3532-3547. Available at: https://elibrary.ru/item.asp?id=26985335 (accessed 12.08.2018).
[3] Sinitsyn A.A., Nikiforov O.Yu. Informational System of Monitoring, Forecasting and Stimulation for Innovation-Oriented Activity of Scientific and Scientific-Pedagogical University Personnel. World Applied Sciences Journal (Education, Law, Economics, Language and Communication). 2013; 27:355-360. DOI: 10.5829/idosi.wasj.2013.27.elelc.72
[4] Guéraud V., Cagnat J.M. Automatic Semantic Activity Monitoring of Distance Learners Guided by Pedagogical Scenarios. W. Nejdl, K. Tochtermann (eds). Innovative Approaches for Learning and Knowledge Sharing. EC-TEL 2006. Lecture Notes in Computer Science. Vol. 4227. Springer, Berlin, Heidelberg, 2006, pp. 476-481. DOI: 10.1007/11876663_39
[5] Smyth R., Bossu C., Stagg A. Toward an Open Empowered Learning Model of Pedagogy in Higher Education. I. Management Association (Ed.) Blended Learning: Concepts, Methodologies, Tools, and Applications. Hershey, PA: IGI Global, 2017, pp. 2196-2214. DOI: 10.4018/978-1-5225-0783-3.ch106
[6] Barinova N., Zakirova V., Akhmetova D., Lysogorova L. Monitoring of the Educational Process with the Use of Information and Communication Technologies: A Case Study in Computer Science. Eurasia Journal of Mathematics, Science and Technology Education. 2018; 14(6):2379-2391. DOI: 10.29333/ejmste/89840
[7] Mazouak A., Bassiri B., Lamniai C., Jaouad C., Malika C., Belaaouad C. Multidisciplinary study of the use of ICT in the digitization of pedagogical and managerial practices. Journal of Fundamental and Applied Sciences. 2018; 10(4S):440-445. DOI: 10.4314/jfas.v10i4s.188
[8] Mazza R., Dimitrova V. A graphical student monitoring tool for supporting instructors in web-based distance courses. International Journal of Human-Computer Studies. 2007; 65(2):125-139. DOI: 10.1016/j.ijhcs.2006.08.008
[9] Rei A., Figueira A., Oliveira L. A System for Visualization and Analysis of Online Pedagogical Interactions. Proceedings of the 2017 International Conference on E-Education, E-Business and E-Technology (ICEBT 2017). ACM, New York, NY, USA, 2017, pp. 42-46. DOI: 10.1145/3141151.3141161
[10] Michel M. Pedagogical Opportunities Of Microsoft’s Adventure Works Business Case And Data Model. Proceedings of the Southern Association for Information Systems Conference. Hilton Head Island, SC, USA, 2015. Available at: https://aisel.aisnet.org/sais2015/20 (accessed 12.08.2018).
[11] Khan M., Wu X., Xu X., Dou W. Big data challenges and opportunities in the hype of Industry 4.0. Proceedings of 2017 IEEE International Conference on Communications (ICC). Paris, 2017, pp. 1-6. DOI: 10.1109/ICC.2017.7996801
[12] Day P. BI Solutions Using SSAS Tabular ModelIn Your Pocket. CreateSpace Independent Publishing Platform, 2016. 174 p.
[13] Cristescu M. Using OLAP Data Cubes in Business Intelligence. Scientific Bulletin. 2017; 21(2):80-86. DOI: 10.1515/bsaft-2016-0039
[14] Nagar P., Atriwal L., Mehra H., Tayal S. Comparison of generalized and big data business intelligence tools. Proceedings of 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom). New Delhi, 2016, pp. 3585-3588.
[15] Miškuf M., Zolotová I. Application of business intelligence solutions on manufacturing data. Proceedings of the 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI). Herl'any, 2015, pp. 193-197. DOI: 10.1109/SAMI.2015.7061874
[16] Ovsyanitskaya L.Yu. The Olap-cubes technology application for analysing pedagogical monitoring data. Izvestia: Herzen University Journal of Humanities & Science. 2014; 171:271-279. Available at: https://elibrary.ru/item.asp?id=22548189 (accessed 12.08.2018). (In Russian)
[17] Yashchuk D.Y., Golub B.L. Research on the use of OLAP Technologies in Management Tasks. Z. Hu, S. Petoukhov, I. Dychka, M. He (eds) Advances in Computer Science for Engineering and Education, ICCSEEA. Advances in Intelligent Systems and Computing. Vol. 754. Springer, Cham, 2018, pp. 683-691. DOI: 10.1007/978-3-319-91008-6_67
[18] Barsegyan A.A. et al. Data analysis technologies: Data Mining, Visual Mining, Text Mining, OLAP. St. Petersburg: BHV-Petersburg, 2007. 384 p. (In Russian)
[19] Beheshti S.-M.-R., Benatallah B., Motahari-Nezhad H.R. Scalable graph-based OLAP analytics over process execution data. Distributed and Parallel Databases. 2016; 34(3):379-423. DOI: 10.1007/s10619-014-7171-9
[20] Mansmann S., Rehman N.U., Weiler A., Scholl M.H. Discovering OLAP dimensions in semi-structured data. Information Systems. 2014; 44:120-133. DOI: 10.1016/j.is.2013.09.002
[21] Kulikov G.G, Startsev G.V., Yakovlev N.N et al. Using OLAP-technology for a comprehensive analysis of the main indicators of business processes of the department of the university. Bulletin of Ufa Aviation Techn. Univ. = Vestnik UGATU. 2007; 7:60-66. Available at: https://elibrary.ru/item.asp?id=12416894 (accessed 12.08.2018). (In Russian)
[22] Nikitina E.Yu., Ovsyanitskaya L.Yu. Construction of the OLAP-model of competence for pedagogical management on the cycles of postgraduate education of doctors. Herald of Chelyabinsk State Pedagogical University. 2014; 6:102-112. Available at: https://elibrary.ru/item.asp?id=22109707 (accessed 12.08.2018). (In Russian)
[23] Ovsyanitskaya L.Yu. Theoretical-methodological bases of information competence formation of public health care experts. M.: Publishing house "Pero", 2015. 163 p. Available at: https://elibrary.ru/item.asp?id=23678639 (accessed 12.08.2018). (In Russian)
[24] Ovsyanitskaya L.Yu. Technological bases of information competence of health care professionals formation on the basis of intellectual analysis of pedagogical monitoring data. M.: Publishing House "Pero", 2016. 180 p. Available at: https://elibrary.ru/item.asp?id=26545624 (accessed 12.08.2018). (In Russian)
[25] Professional education of the XXI century. E.Yu. Nikitina (ed). M.: Publishing house "Pero", 2016. 227 p. Available at: https://elibrary.ru/item.asp?id=25569107 (accessed 12.08.2018). (In Russian)
[26] Ovsyanitskaya L.Yu. Application of OLAP-technologies for the construction of a transfer system of the educational process. IKBFU's Vestnik. Ser. Philology, Pedagogy, and Psychology. 2014; 5:13-21. Available at: https://elibrary.ru/item.asp?id=21545611 (accessed 12.08.2018). (In Russian)
[27] Ovsyanitskaya L.Yu. Construction and implementation of the uniar model of information competence of health care professionals. M.: Publishing house "Pero", 2016. 172 p. Available at: https://elibrary.ru/item.asp?id=25158292 (accessed 12.08.2018). (In Russian)
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