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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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Discovering learning processes using inductive miner: A case study with learning management systems (LMSs) [PDF]
, 2018 Resumen tomado de la publicaciónDescubriendo procesos de aprendizaje aplicando Inductive Miner: un estudio de caso en Learning Management Systems (LMSs).
Bogarín Vega, Alejandro +2 more
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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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DATA MINING TECHNIQUES FOR EDUCATIONAL DATA: A REVIEW
International Journal of Engineering Technologies and Management Research, 2020 Recently, data mining is gaining more popularity among researcher. Data mining provides various techniques and methods for analysing data produced by various applications of different domain. Similarly, Educational mining is providing a way for analyzing educational data set. Educational mining concerns with developing methods for discovering knowledge
Pragati Sharma, Dr. Sanjiv Sharma
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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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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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Learning sentiment from students’ feedback for real-time interventions in classrooms [PDF]
, 2014 Knowledge about users sentiments can be used for a variety of adaptation purposes. In the case of teaching, knowledge about students sentiments can be used to address problems like confusion and boredom which affect students engagement. For this purpose,
Altrabsheh, Nabeela +2 more
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Educational Data Mining: A Foundational Overview
EncyclopediaEducational data mining (EDM) is a novel scientific area that focuses on developing and applying methods to analyze datasets generated within educational settings. This paper outlines the evolution, significance, and applications of EDM.
Ilias Papadogiannis +2 more
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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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