Intelligent Educational Data Analysis for Creation a Personalized eLearning Environment

188

Abstract

Digitalization is one of the most important directions in the development of the modern education system. The introduction of digital technologies into the educational process leads to the emergence of a large amount of information. The article discusses the main possibilities of using educational data mining in the development of a personalized learning environment. Methods of data analysis in the field of education are considered and the types of problems that can be solved with their help are described. A model for creation a personalized eLearning environment based on the analysis of educational data is proposed, the purpose of which is to predict student success in the learning process based on his individual characteristics and educational results.

General Information

Keywords: data mining, personalization, personalized learning environment, educational data, student, university

Publication rubric: Intelligent Technologies in Humanities and Education

Article type: scientific article

For citation: Toktarova V.I., Popova O.G. Intelligent Educational Data Analysis for Creation a Personalized eLearning Environment. Digital Humanities and Technology in Education (DHTE 2021): Collection of Articles of the II All-Russian Scientific and Practical Conference with International Participation. November 11-12, 2021 / V.V. Rubtsov, M.G. Sorokova, N.P. Radchikova (Eds). Moscow: Publishing house MSUPE, 2021., pp. 343–352.

References

  1. Belonozhko P.P., Karpenko A.P., Khramov D.A. Analiz obrazova­tel’nykh dannykh: napravleniya i perspektivy primeneniya [Analysis of educational data: directions and prospects of application]. Vestnik evraziiskoi nauki = Bulletin of Eurasian Science, 2017, no. (41).
  2. Mantulenko V.V. Perspektivy ispol’zovaniya tsifrovogo sleda v vyss­hem obrazovanii [Prospects for using the digital footprint in higher education]. Prepodavatel’ KhKhI veka = Teacher of the XXI century, 2020, no. 3–1, pp. 32–42. DOI: 10.13862/2073-9613-2020-3-32-42
  3. Moskovskii gosudarstvennyi pedagogicheskii universitet [Moscow State Pedagogical University]. Available at: https://www.mgpu.ru/ (Accessed 10.09.2021)
  4. Pasport natsional’noi programmy «Tsifrovaya ekonomika Rossiiskoi Federatsii» [Passport of the national program “Digital Economy of the Russian Federation”]. Available at: http://static.government.ru/ (Accessed 09/10/2021)
  5. Pasport federal’nogo proekta «Kadry dlya tsifrovoi ekonomiki» [Passport of the federal project “Personnel for the digital economy”]. Available at: https://digital.ac.gov.ru/poleznaya-informaciya/mate­rial/Pasport-federal’nogo-proekta-Kadry-dlya-tsifrovoi-ekonomiki. pdf (Accessed 10.09.2021)
  6. Sistema upravleniya kursami Moodle [Moodle course management system]. Available at: https://moodle.org/ (Accessed 10.09.2021)
  7. Fiofanova O.A. Analiz bol’shikh dannykh v sfere obrazovaniya: metodologiya i tekhnologii: monografiya [Big Data Analysis in Ed­ucation: Methodology and Technologies]. – M.: Izdatel’skii dom «Delo» = Publishing house “Delo”, RANKhiGS, 2020, 200 p.
  8. Fiofanova O.A. Smart Big Data v publichnykh dokladakh [Smart Big Data in public reports] // Obrazovatel’naya politika = Education­al policy, 2020, no. 4 (84), pp. 70–77. DOI: 10.22394/2078–838Kh- 2020–4-70–77
  9. Khlopotov M.V., Kotsyuba I.Yu. Metody intellektual’nogo analiza dannykh dlya monitoringa i diagnostiki kachestva obrazovaniya [Methods of data mining for monitoring and diagnosing the quality of education]. Distantsionnoe i virtual’noe obrazovanie = Distance and virtual education, 2014, no. 5, pp. 18–25.
  10. Chmykhova E.V., Davydov D.G., Strokopytova S.A. Intellektual’nyi analiz dannykh elektronnoi obrazovatel’noi sredy dlya otsenki lich­nostnykh osobennostei obuchaemykh [Intelligent data analysis of the electronic educational environment for assessing the personal characteristics of students]. Innovatsii v obrazovanii. = Innovations in education, 2020. no. 2. pp. 83–99.
  11. Toktarova V.I. Pedagogical Management of Learning Activities of Students in the Electronic Educational Environment of the Univer­sity: a Differentiated Approach. International Education Studies. 2015. Vol. 8, no 5, pp. 205–212.

Information About the Authors

Vera I. Toktarova, Doctor of Education, assistant professor, Professor of the Department of Applied Mathematics and Informatics, Rector's Advisor, Mari State University, Yoshkar-Ola, Russia, ORCID: https://orcid.org/0000-0002-3590-3053, e-mail: toktarova@yandex.ru

Olesya G. Popova, Master’s student at the Institute of Digital Technologies, Mari State University, Yoshkar-Ola, Russia, ORCID: https://orcid.org/0000-0002-2666-1005, e-mail: olesya_popova10@mail.ru

Metrics

Views

Total: 123
Previous month: 5
Current month: 2

Downloads

Total: 188
Previous month: 1
Current month: 3