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Datawarehouse design for educational data mining

2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016
Business intelligence (BI) builds upon a set of tools and applications that enable the analysis of vast amounts of information (Big Data). Educational institutions handle large volumes of Big Data every year. There is a strong need for the use of BI in these institutions to improve their processes and support decision making.
Oswaldo Moscoso-Zea   +2 more
openaire   +1 more source

Towards a DSL for Educational Data Mining

2015
Nowadays, most companies and organizations rely on computer systems to run their work processes. Therefore, the analysis of how these systems are used can be an important source of information to improve these work processes. In the era of Big Data, this is perfectly feasible with current state-of-art data analysis tools.
Alfonso de la Vega   +3 more
openaire   +1 more source

A reference architecture for educational data mining

2017 IEEE Frontiers in Education Conference (FIE), 2017
In this paper we present a reference architecture for ETL stages of EDM and LA that works with different data formats and different extraction sites, ensuring privacy and making easier for new participants to enter into the process without demanding more computing power. Considering scenarios with a multitude of virtual environments hosting educational
Francisco A. de Almeida Neto   +1 more
openaire   +1 more source

Data Mining and Opinion Mining

Proceedings of the 2018 1st International Conference on Mathematics and Statistics, 2018
The use of the web as a universal communication platform generates large volumes of data (Big data), which in many cases, need to be processed so that they can become useful knowledge in face of the sceptics who have doubts about the credibility of such information.
Myriam Guadalupe Peñafiel   +4 more
openaire   +1 more source

Temporal Data Mining for Educational Applications

2008
Intelligent tutoring systems (ITSs) acquire rich data about studentsO behavior during learning; data mining techniques can help to describe, interpret and predict student behavior, and to evaluate progress in relation to learning outcomes. This paper surveys a variety of data mining techniques for analyzing how students interact with ITSs, including ...
Carole R. Beal, Paul R. Cohen
openaire   +2 more sources

Use of Data mining Tools in Educational Data Mining

2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT), 2022
Sunita M Dol, Pradeep M Jawandhiya
openaire   +1 more source

Educational Data Mining

2012
Oliver Scheuer, Bruce M. McLaren
openaire   +2 more sources

Educational data mining

2015
de Jong, Ton, Anjewierden, Anjo Allert
openaire   +3 more sources

Educational Data Mining versus Learning Analytics: A Review of Publications From 2015 to 2019

Interactive Learning Environments, 2023
Clare Baek, Tenzin Doleck
exaly  

DATA MINING CONCEPT AND DATA MINING APPLICATIONS IN EDUCATION

2015
The developments in computer technology render that a huge amount of data can conceal in magnetic mediums easily and cheaply by making data storage systems become widespread. However, the data being warehoused are worthless and mean nothing by themselves.
openaire   +1 more source

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