Use of educational data mining to identify distance learning students' profiles and patterns of participation

机译：使用教育数据挖掘来识别远程学习学生的概况和参与模式

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The Educational Data Mining allows to identify and cluster students by certain characteristics that are specified through the needs and problems raised by the teachers and course coordinators. In this context, this research aims to apply data mining techniques for the identification of profiles and participation patterns of students in a course of higher distance course resulting in the prediction of the chances of each student's approval. The result was the identification of 4 clusters that designate the profiles and types of participation of the students, namely: active, medium, inconstant and absent.

机译：通过教育数据挖掘，可以根据教师和课程协调员提出的需求和问题所确定的某些特征，对学生进行识别和聚类。在这种情况下，本研究旨在将数据挖掘技术应用于识别高程课程中学生的档案和参与模式，从而预测每个学生获得批准的机会。结果是确定了四个集群，这些集群指定了学生的参与情况和类型，即：活跃，中等，不稳定和缺席。

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《Iberian Conference on Information Systems and Technologies》|2017年|1-6|共6页
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Thaiza Ramos; Apuena Gomes; Márcia Lucena; Isabel Nunes; Ricardo Valentim; Giovani Nóbrega;
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Data mining; Principal component analysis; Computer aided instruction; Knowledge discovery; Databases;

机译：数据挖掘;主成分分析;计算机辅助教学;知识发现;数据库;

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1. Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory [J] . Xing Wanli, Guo Rui, Eva Petakovic, Computers in Human Behavior . 2015,第juna期

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2. How Do Students Behave When Using A Tutoring System? Employing Data Mining to Identify Behavioral Patterns Associated to The Learning of Mathematics [J] . Roberto Angel Melendez-Armenta, N. Sofia Huerta-Pacheco, Luis Alberto Morales-Rosales, International Journal of Emerging Technologies in Learning (iJET) . 2020,第22期

机译：学生使用辅导系统时如何表现如何？采用数据挖掘来识别与数学学习相关的行为模式
3. Implementation of "ADAB" to Hearing Impaired Student as Learning Innovation in the Data and Text Mining Course, Information System Distance Learning, Binus Online Learning [J] . Teguh Prasandy, Ika Nurlaila, Titan Titan, International Journal of Emerging Technologies in Learning (iJET) . 2020,第5期

机译：在数据和文本采矿课程中的学习创新，信息系统远程学习，Binus在线学习，实施“Adab”将受损的学生创新视为学习创新
4. Use of educational data mining to identify distance learning students' profiles and patterns of participation [C] . Thaiza Ramos, Apuena Gomes, Márcia Lucena, Iberian Conference on Information Systems and Technologies . 2017

机译：使用教育数据挖掘来识别远程学习学生的概况和参与模式
5. What Predicts Student Comprehension in Language Learning? Augmenting Student Action with Elapsed Time in an Educational Data Mining Approach. [D] . Dexheimer, Matthew Scott. 2017

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6. Global Health Education: a cross-sectional study among German medical students to identify needs deficits and potential benefits (Part 1 of 2: Mobility patterns educational needs and demands) [O] . Kayvan Bozorgmehr, Kirsten Schubert, Johannes Menzel-Severing, 2010

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7. Educational Data Mining to support Distance Learning students with difficulties in the Portuguese Grammar [O] . Fabiana Soares, Crystiano Machado, Diógenes Diniz, 2016

机译：教育数据挖掘支持葡萄牙语中困难的距离学生

Use of educational data mining to identify distance learning students' profiles and patterns of participation

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