Modeling Smart Learning Processes Based on Educational Data Mining Tools

Author:

Mitrofanova Yana S.,Sherstobitova Anna A.,Filippova Olga A.

Publisher

Springer Singapore

Reference16 articles.

1. Agrawal, R., Gollapudi, S., Kannan, A., Kenthapadi, K.: Study navigator: an algorithmically generated Aid for learning from electronic textbooks. JEDM-J. Educ. Data Min. 6(1), 53–75 (2014). Google Scholar

2. Alaofi, M., Rumantir, G.: Personalisation of generic library search results using student enrolment information. JEDM-J. Educ. Data Min. 7(3), 68–88 (2015). Google Scholar

3. Azarnoush, B., Bekki, J.M., Runger, G.C., Bernstein, B.L., Atkinson, R.K.: Toward a framework for learner segmentation. JEDM-J. Educ. Data Min. 5(2), 102–126 (2013). Google Scholar

4. Baker, R.S., Yacef, K.: The state of educational data mining in 2009: a review and future visions. JEDM-J. Educ. Data Min. 1(1), 3–17 (2009). Google Scholar

5. Cocea, M., Weibelzahl, S.: Can log files analysis estimate learners’ level of motivation? Google Scholar (2006)

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Digital Twin—A Review of the Evolution from Concept to Technology and Its Analytical Perspectives on Applications in Various Fields;Applied Sciences;2024-06-24

2. Review of Genetic Algorithm to improve Students Academic Performance by applying Smart Learning;International Journal of Combinatorial Optimization Problems and Informatics;2023-12-31

3. Educational Data Mining Patterns K-anonymity for The Analytics of Student Privacy Data;2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE);2023-02-16

4. Data mining model in developing management capabilities of students department of information systems;INTERNATIONAL CONFERENCE OF SNIKOM 2021;2023

5. Project activities as means in students’ creative self- realization during University education;XLV ACADEMIC SPACE CONFERENCE, DEDICATED TO THE MEMORY OF ACADEMICIAN S.P. KOROLEV AND OTHER OUTSTANDING NATIONAL SCIENTISTS — PIONEERS OF SPACE EXPLORATION;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3