EDUCATIONAL PRACTICES OF COLLECTING AND ANALYZING DATA FROM THE DIGITAL FOOTPRINT OF SCHOOLCHILDREN
https://doi.org/10.24412/2225-8264-2023-4-12-20
Abstract
The article substantiates the relevance and feasibility of analyzing the digital footprint of schoolchildren, reveals the essence of the concepts of “digital footprint” and “digital footprint in education”, its types, sources and components. The purpose of the work is to analyze Russian and foreign studies devoted to studying the role and possibilities of using digital footprint data in school education. The research methods used include analysis and comparison of psychological and pedagogical literature, scientific articles, the inductive method, and the systematic method. The authors describe in detail the leading practices of digital footprint analysis in school education, identifying those Russian and foreign studies that do this most comprehensively (extract and record data on key components of the digital footprint). It is concluded that the practice of using digital footprint data in school education in order to study the types of activities of schoolchildren on the Internet prevails in foreign sources. Foreign authors are interested in high school students’ awareness of their digital footprints, their management, the impact of the digital footprint on the present and future, and the role of the digital footprint in the psychophysiological field is explored. Among the key areas of using the digital footprint in the research of Russian scientists, the study of the role of the digital footprint as a regulator of the educational process clearly stands out. Digital traces are used in the process of assessing the effectiveness of the educational process and making decisions about its optimization, predicting the results of educational activities. There are a number of works devoted to the use of the digital footprint in career guidance work with applicants. In conclusion, the found relationships between the data from the student’s digital footprint are listed and conclusions are drawn about the main possibilities for using information extracted from the digital footprint in school education.
About the Authors
A. N. BogdanovaRussian Federation
Alina N. Bogdanova
Candidate of pedagogical sciences, Associate Professor
D. M. Lapchik
Russian Federation
Dmitry M. Lapchik
Director of the information and computing center
G. A. Fedorova
Russian Federation
Galina A. Fedorova
Doctor of Pedagogical Sciences, Associate Professor
References
1. Internet and social media statistics for 2023-figures and trends in the world i in Russia. WebCanape. URL: https:// www.web-canape.ru/business/statistika-interneta-i-socsetej-na-2023-god-cifry-i-trendy-v-mire-i-v-rossii.
2. Churkina N. A. Digital footprint in the aspect of e-learning. Mezhdunarodnyj nauchno-issledovatel’skij zhurnal = International Scientific Research Journal. 2022; 11 (125): 1-6. DOI 10.23670/IRJ.2022.125.35. (In Russ.).
3. Quote of the week: Minister on Student’s Digital Portfolio and Value in the labor Market. Skillbox Education 4.0 July 9; 2021. URL: https://skillbox.ru/media/education/tsitata-nedeli-ministr-o-tsifrovom-portfolio-uchashchegosya-itsennosti-na-rynke-truda..
4. Digital footprint standard. University 20.35. URL: https://standard.2035.university/v1.0.2.
5. Gaydamak E. S., Lapchik D. M., Fedorova G. A. Digital footprint in the educational environment as a regulator of students’ career guidance for the teaching profession. ZHurnal Sibirskogo federal’nogo universiteta. Seriya: Gumanitarnye nauki. = Journal of the Siberian Federal University. Series: Humanities. 2021; 9: 1388-1398. DOI 10.17516/1997-13700827. (In Russ.).
6. Weindorf-Sysoeva M. E., Subocheva M. L. «Digital education» as a system-forming category: approaches to definition. Vestnik Moskovskogo gosudarstvennogo oblastnogo universiteta. Seriya: Pedagogika = Bulletin of the Moscow State Regional University. Series: Pedagogy. 2018; 3: 25-36. (In Russ.).
7. Mantulenko V. V. Prospects of using the digital footprint in higher education. Prepodavatel’ XXI vek = Teacher XXI century. 2020; 3(1): 32-42. (In Russ.).
8. Shamsutdinova T. M. Cognitive model of the trajectory of e-learning based on a digital footprint. Otkrytoe obrazovanie = Open education. 2020; 24 (2): 47-54. (In Russ.).
9. What is a digital footprint? URL: https://www.kaspersky.ru/resource-center/definitions/what-is-a-digital-footprint.
10. KomissarovA. On the digital trail of a schoolboy. URL: https://www.osp.ru/dobrodata/article/2020-11-02/13055697.
11. Buchanan R., Southgate E., Smith S., Murray T., Noble B. Post no photos, leave no trace: Children’s digital footprint management strategies. E-Learning and Digital Media. 2017; 5: 275-290. DOI:10.1177/2042753017751711
12. Martin F., Wang C., Petty T., Wang W., Wilkins P. Middle School Students’ Social Media Use. Educational Technology & Society. 2018; 21(1): 213-224.
13. Brom C., Hannemann T., Ježek P., Drobná A., Volná K., Kačerovská K. Principles of Computers and the Internet Model Lessons for Primary School Children: Experience Report. Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education. Vol. 1. July 8-12, Turku; 2023. 7 p.
14. Van Ouytsel J., Walrave M., Ponnet K. How Schools Can Help Their Students to Strengthen Their Online Reputations. The Clearing House. 2014; 87 (4): 180-185.
15. Blikstein P., Worsley M. Multimodal learning analytics and education data mining: using computational technologies to measure complex learning tasks. J. Learn. Anal. 2016; (3(2)): 220-238. DOI:10.18608/jla.2016.32.11.
16. Lychagina E. B. Pandemic and education. Modern IT technologies in education. Nauchnye trudy Severo-Zapadnogo instituta upravleniya RANHiGS = Scientific proceedings of the Northwestern Institute of Management of the RANEPA. 2020; 4(46): 149-154. (In Russ.).
17. Aminov T. K., Volkov A. S., Zhelnina E. V. Digital footprint as a means of developing educational activities and modernizing curricula. Aktual’nye problemy gumanitarnyh i social’no-ekonomicheskih nauk = Actual problems of humanities and socio-economic sciences. 2022; 2(85): 7-14. (In Russ.).
18. Gafarov F. M., Sabirova E. G., Gavrish T. A. On the question of analytics in education // Education and pedagogy: prospects for development: collection of materials of the All-Russian scientific and practical conference. CHeboksary: Sreda; 2020: 104-108.
19. Kashpur V. V., Petrov E. Y., Goiko V. L., Feshchenko A.V. Possibilities of using digital traces to predict students’ educational achievements. Vestnik Tomskogo gosudarstvennogo universiteta. Filosofiya. Sociologiya. Politologiya = Bulletin of Tomsk State University. Philosophy. Sociology. Political science. 2021; 64: 140-150. DOI 10.17223/1998863X/64/13. (In Russ.).
20. Goiko V. L., Kiselev P. B., Matsuta V. V. [et al.] Methods and tools for identifying prospective applicants in social networks. Otkrytoe i distancionnoe obrazovanie = Open and distance education. 2017; (4(68)): 45-52. (In Russ.).
21. Matsuta V. V., Kiselev P. B., Feshchenko A.V., Goiko V. L. Investigation of the potential of social networks to identify gifted high school students. Psihologiya i Psihotekhnika = Psychology and Psychotechnics. 2017; (4): 104-121. (In Russ.).
22. Gabdrakhmanov N. K., Myagkov M. G., Goiko V. L., Feshchenko A.V. Results of monitoring of informal university Internet communities in the conditions of transition to distance learning. Monitoring ekonomiki obrazovaniya = Monitoring of the education economy. 2020; 7: 1-5. (In Russ.).
23. Patarakin E. D. Digital traces in the systems of joint work of teachers and students. Digital transformation of school education // Collection of scientific papers of the V All-Russian Scientific and practical conference of the XII St. Petersburg International Educational Forum. St. Petersburg: St. Petersburg Academy of Postgraduate Pedagogical Education; 2022: 44-53.
24. Polivanova K. N., Smirnov I. B. What’s in my profile for you, VKontakte data as a tool for studying the interests of modern teenagers. Voprosy obrazovaniya = Questions of Education. 2017; 2: 134-152. (In Russ.).
25. Ulumbekova N. School performance can reveal social networks. 2018. URL: https://www.kommersant.ru/doc/3714714.
26. Yakovleva E. V., Goltsova N. V., Vakhrameev P. S., Ivanov V. V. Conceptual foundations of gamification research on the formation of a digital footprint as a model of modern career guidance and professional self-determination of children of different age groups in the system of continuing education // Theory and practice of gamification in career guidance and professional self-determination of children of different age groups at different stages of education: сollection materials of the scientific and practical seminar. Cherepovets: Cherepovets State University; 2020. pp. 4-13.
27. Verkhorubova P.A., Edrenkina M.V., Popova E.I. Designing a digital footprint for the implementation of individual educational trajectories. Vestnik SHadrinskogo gosudarstvennogo pedagogicheskogo universiteta = Bulletin of Shadrinsky State Pedagogical University. 2021; 4(52): 46-51. (In Russ.).
28. Passport of the Digital Transformation of Education strategy. URL: https://docs.edu.gov.ru/document/267a55edc9394c4fd7db31026f68f2dd.
29. Guzhelya D. Digital portfolio should differ from the «digital footprint». Federal portal Russian education IT in education. Moscow: 04.12.2018. URL: https://edu.ru/news/it-v-obrazovanii/cifrovoe-portfolio-dolzhno-otlichatsya-otcifrovog.
Review
For citations:
Bogdanova A.N., Lapchik D.M., Fedorova G.A. EDUCATIONAL PRACTICES OF COLLECTING AND ANALYZING DATA FROM THE DIGITAL FOOTPRINT OF SCHOOLCHILDREN. Herald of Siberian Institute of Business and Information Technologies. 2023;12(4):12-20. (In Russ.) https://doi.org/10.24412/2225-8264-2023-4-12-20