{"id":2179,"date":"2025-05-13T11:41:12","date_gmt":"2025-05-13T10:41:12","guid":{"rendered":"http:\/\/newskbncran.ru\/?page_id=2179"},"modified":"2026-03-30T15:05:07","modified_gmt":"2026-03-30T14:05:07","slug":"26-5-8-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/26-5-8-en\/","title":{"rendered":"26.5.8 en"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\"><strong>Main directions of data mining in the field of education<\/strong><\/h4>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-medium-font-size wp-elements-211daccd9d0d000b6db7dec51c6344d5\"><strong><strong><strong><strong><strong><strong><strong>N.A. Popova, E.S. Egorova<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"\/>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-24a27e19 wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<p class=\"has-text-color has-link-color has-medium-font-size wp-elements-4a9ce8c8f4eb81997c58bba471cf3274\" style=\"color:#5b1919;text-decoration:underline\"><strong>Upload the full text<\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-9151b400 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-15bf754d wp-block-buttons-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-small-font-size has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2024\/11\/pop-8.pdf\" style=\"border-color:#5b1919;border-style:solid;border-width:2px;border-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40)\">PDF<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:0px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-273e683f\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-109aeb0e6894948d9620a7f444026bda\" style=\"line-height:1.4\"><strong><em>Abstract. <\/em><\/strong>Data mining in education is becoming increasingly popular and many educational institutions are increasingly applying it to improve their competitiveness. Many studies have been conducted recently on educational data analysis on different educational topics with the use of different methods and algorithms. Therefore, it would be useful to have a brief overview of the most used methods and approaches. For this purpose, foreign and domestic works were analyzed to identify the most relevant research directions, important methods and algorithms in the field of educational data analysis in modern higher education. A systematic analysis methodology consisting of 5 stages was proposed to compile the review. Widely used topics, methods, algorithms were identified and the relationship between them was established. The scientific novelty of the overview lies in identifying the current research challenges in the field of educational data analysis in higher education and discovering promising research methods and algorithms.<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-ff6a9390b89e342b3ea790916f6ae120\" style=\"line-height:1.4\"><strong><em>Keywords: <\/em><\/strong>Data Mining, educational data mining, meta-analysis, business intelligence<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-6a7b89a5db10796f0f00c01af1656a66\" style=\"font-size:12px;line-height:1.4\"><strong>For \u00a0citation<\/strong>.\u00a0\u00a0Popova N.A., \u00a0Egorova E.S.<sup>\u00a0<\/sup>Main \u00a0directions \u00a0of \u00a0data \u00a0mining \u00a0in \u00a0the \u00a0field \u00a0of \u00a0education. <em>News \u00a0of \u00a0the \u00a0Kabardino-Balkarian \u00a0Scientific \u00a0Center \u00a0of \u00a0RAS.<\/em><strong>\u00a0<\/strong>2024. \u00a0Vol. 26. \u00a0No. 5. \u00a0Pp. 94\u2013106. DOI: 10.35330<strong>\/ <\/strong>1991-6639-2024-26-5-94-106<\/p>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-42237bae7bc80418f86967bfda0bbf02 is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>References<\/strong><\/summary>\n<ol class=\"wp-block-list\">\n<li style=\"margin-top:0;margin-bottom:0\">Du X., Yang J., Hung J.-L., Shelton B. Educational data mining: a systematic review of research and emerging trends. <em>Information Discovery and Delivery<\/em>. 2020. No. 48(4). Pp. 225\u2013236. DOI: 10.1108\/idd-09-2019-0070<\/li>\n\n\n\n<li>Semenkina I.A., Prusakova P.V. Research directions in the field of educational data analysis in higher education: A theoretical review. <em>Pedagogika. Voprosy teorii i praktiki <\/em>[Pedagogy. Theory and Practice]. 2023. Vol. 8. No. 7. Pp. 761\u2013770. DOI: 10.30853\/ped20230111. (In Russian)<\/li>\n\n\n\n<li>Politov A.Yu., Akzhigitov R.R., Sudarikov K.A. Analysis of predictive analytics models and tools for analyzing educational data.<em> Innovatsii. Nauka. Obrazovanie<\/em> [Innovations. Science. Education]. 2021. No. 28. Pp. 1055\u20131065. EDN: SSBBWE. (In Russian)<\/li>\n\n\n\n<li>Salal Ya. Kh., Abdullaev S.M. Monitoring of the education quality and implementing of individual learning: demonstration of approaches and educational data mining algorithms. Izvestiya SFedU. <em>Engineering Sciences.<\/em> 2020. No. 3(213). Pp. 112\u2013122. DOI: 10.18522\/2311-3103-2020-3-112-122<\/li>\n\n\n\n<li>Bunkar K. Educational data mining in practice literature review. <em>Journal of Advanced Research in Embedded System<\/em>. 2020. Vol. 7. Pp. 1\u20137. DOI: 10.24321\/2395.3802.202001<\/li>\n\n\n\n<li>Terentyev A.V. Methods and algorithms for data mining in education. <em>Vestnik nauki<\/em> [Science Bulletin]. 2024. Vol. 4. No. 5(74). Pp. 1545\u20131550. (In Russian)<\/li>\n\n\n\n<li>Dol S. M., Jawandhiya P. M. Classification technique and its combination with clustering and association rule mining in educational data mining\u2013A survey. <em>Engineering Applications of<br>Artificial Intelligence<\/em>. 2023. Vol. 122. P. 106071. DOI: 10.1016\/j.engappai.2023.106071<\/li>\n\n\n\n<li>Rabelo A., Rodrigues M.W., Nobre C.N., Isotani S. Educational data mining and learning analytics: A review of educational management in e-learning. <em>Information Discovery and Delivery<\/em>. 2024. Vol. 52. No. 2. Pp. 149\u2013163. DOI: 10.1108\/IDD-10-2022-0099<\/li>\n\n\n\n<li>Bo\u0161njakovi\u0107 N., \u0110ur\u0111evi\u0107 Babi\u0107 I. Systematic review on educational data mining in educational gamification. <em>Tech Know Learn<\/em>. 2023. Vol. 21. Pp. 5\u201319. DOI: 10.1007\/s10758-023-09686-2<\/li>\n\n\n\n<li>Salloum S.A., Elnagar A., Shaalan K., Alshurideh M. Mining in educational data: review and future directions. <em>Advances in Intelligent Systems and Computing.<\/em> 2020. Vol. 1153. Pp. 92\u2013102. DOI: 10.1007\/978-3-030-44289-7_9<\/li>\n\n\n\n<li>Andrade T., Rigo S., Barbosa J. Active methodology, educational data mining and learning analytics: a systematic mapping study.<em> Informatics in Education<\/em>. 20201. Vol. 20. No. 2. Pp. 171\u2013204. DOI: 10.15388\/infedu.2021.09<\/li>\n\n\n\n<li>Ampadu Y.B. Handling big data in education: a review of educational data mining techniques for specific educational problems. <em>AI, Computer Science and Robotics Technology<\/em>. No. 13. DOI: 10.5772\/ACRT.17<\/li>\n\n\n\n<li>Popova N.A., Egorova E.S. Data mining in education: forecasting student performance. <em>Modelirovanie, optimizatsiya i informatsionnye tekhnologii<\/em> [Modeling, optimization and information technology]. 2023. Vol. 11. No. 2 (41). Pp. 9\u201310. DOI: 10.26102\/2310-6018\/2023.41.2.003. (In Russian)<\/li>\n\n\n\n<li>Popova N.A., Egorova E.S. Intelligent analysis of educational data to forecast university students&#8217; academic performance. <em>News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. No. 2(112). Pp. 18\u201329. DOI: 10.35330\/1991-6639-2023-2-112-18-29. (In Russian)<\/li>\n\n\n\n<li>Kovalev S., Kolodenkova A., Muntyan E. Educational data mining: current problems and solutions. 2020 5th International Conference on Information Technologies in Engineering Education, Inforino 2020 \u2013 Proceedings. Moscow, 14\u201317 \u0430\u043f\u0440\u0435\u043b\u044f 2020 \u0433\u043e\u0434\u0430. Moscow, 2020. P. 9111699. DOI: 10.1109\/Inforino48376.2020.9111699<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-3efd337d47baf2651b4c583cfdb6db4b is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>Information about the authors<\/strong><\/summary>\n<p style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"><strong>Nataliya A. Popova<\/strong>, Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Mathematical Support and Computer Use, Penza State University;<br>440026, Russia, Penza, 40 Krasnaya street;<br>popov.tasha@yandex.ru, ORCID: https:\/\/orcid.org\/0000-0001-9713-4897, SPIN-\u043a\u043e\u0434: 9358-8567<br><strong>Ekaterina S. Egorova<\/strong>, Candidate of Economic Sciences, Associate Professor of the Department of Applied Informatics, Penza State Technological University;<br>440039, Russia, Penza, 1a\/11 Baidukova Passage\/Gagarina street;<br>katepost@yandex.ru, ORCID: https:\/\/orcid.org\/0000-0002-0816-0944, SPIN-\u043a\u043e\u0434: 5624-6036<\/p>\n\n\n\n<p><\/p>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>Main directions of data mining in the field of education N.A. Popova, E.S. Egorova Upload the full text Abstract. Data mining in education is becoming increasingly popular and many educational institutions are increasingly applying it to improve their competitiveness. Many studies have been conducted recently on educational data analysis on different educational topics with the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2179","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>26.5.8 en - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/26-5-8-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"26.5.8 en - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"Main directions of data mining in the field of education N.A. 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