Results 31 to 40 of about 347,417 (324)
Student Performance Prediction Approach Based on Educational Data Mining
IEEE Access, 2023 Predicting student performance is crucial for improving students’ future academic achievements. Within student groups, common characteristics can reveal trends in overall student learning.
Ziling Chen +3 more
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Educational Data Mining Using JMP
International Journal of Computer Science and Information Technology, 2014 Educational Data Mining is a growing trend in case of higher education. The quality of the Educational Institute may be enhanced through discovering hidden knowledge from the student databases/ data warehouses. Present paper is designed to carry out a comparative study with the TDC (Three Year Degree) Course students of different colleges affiliated to
Hussain, Sadiq, Hazarika, G. C.
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Tools for Educational Data Mining [PDF]
Journal of Educational and Behavioral Statistics, 2016 In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research. In this article, we hope to highlight some of the most widely used, most accessible, and most powerful tools available for the researcher interested in conducting EDM/LA research.
Slater, Stefan +4 more
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Utilizing Machine Learning Models to Predict Student Performance From LMS Activity Logs
IEEE Access, 2023 In recent years, the application of data mining techniques on educational data has grown in importance. Educational data mining can be used to find hidden patterns in students’ academic conduct and predict future success by examining previous data.
Majid Khan +5 more
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Eliciting motivation knowledge from log files towards motivation diagnosis for adaptive systems [PDF]
, 2007 Motivation is well-known for its importance in learning and its influence on cognitive processes. Adaptive systems would greatly benefit from having a user model of the learner's motivation, especially if integrated with information about knowledge.
Cocea, Mihaela, Weibelzahl, S.
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An evaluation technique for content interaction in web-based teaching and learning environments [PDF]
, 2003 Interactivity is a central element in teaching and learning. The Web as a new educational platform enables new forms of teaching and learning. The consequence for the Web – a constantly evolving environment that provides less direct feedback – is the ...
Donnellan, David, Lei, Xu, Pahl, Claus
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Data Mining in Education [PDF]
International Journal of Advanced Computer Science and Applications, 2016 Data mining techniques are used to extract useful knowledge from raw data. The extracted knowledge is valuable and significantly affects the decision maker. Educational data mining (EDM) is a method for extracting useful information that could potentially affect an organization.
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Educational Data Mining and Learning Analytics [PDF]
, 2014 During the past decades, the potential of analytics and data mining - methodologies that extract useful and actionable information from large datasets - has transformed one field of scientific inquiry after another (cf. Collins, Morgan, & Patrinos, 2004; Summers et al., 1992). Analytics has become a trend over the past several years, reflected in large
Ryan Baker, George Siemens
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WIREs Data Mining and Knowledge Discovery, 2012 AbstractApplying data mining (DM) in education is an emerging interdisciplinary research field also known as educational data mining (EDM). It is concerned with developing methods for exploring the unique types of data that come from educational environments.
Cristobal Romero, Sebastian Ventura
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ANALYSING THE ACADEMIC PERFORMANCE OF STUDENTS USING UNSUPERVISED DATA MINING
Studia Universitatis Babes-Bolyai: Series Informatica, 2019 Educational Data Mining is an attractive interdisciplinary domain in which the main goal is to apply data mining techniques in educational environments in order to offer better insights into the educational related tasks.
George CIUBOTARIU, Liana Maria CRIVEI
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