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Educational Data Mining

2020
This chapter presents a comprehensive discussion of educational data mining and its potential for educational research. The origins of data mining and the emergence of educational data mining are discussed. The variety of data generated in education (e.g., text, speech, performance, etc.) are described and the challenges of mining these data for useful
Osman Kandara, Eugene Kennedy
  +5 more sources

Data mining and education

WIREs Cognitive Science, 2015
An emerging field of educational data mining (EDM) is building on and contributing to a wide variety of disciplines through analysis of data coming from various educational technologies. EDM researchers are addressing questions of cognition, metacognition, motivation, affect, language, social discourse, etc. using data from intelligent tutoring systems,
Kenneth R, Koedinger   +4 more
openaire   +2 more sources

Data Mining in Higher Education

2007
The aim of this paper is the critical discussion of different data mining methods in the context of the demand-oriented development of bachelor and master study courses at german universities. The initial point of the investigation was the question, to what extent the knowledge concerning the selection of the so-called “Fachkernkombinationen” (major ...
Karoline Schönbrunn, Andreas Hilbert
openaire   +1 more source

Behind the scenes of educational data mining

Education and Information Technologies, 2020
Research based on educational data mining conducted at academic institutions is often limited by the institutional policy with regard to the type of learning management system and the detail level of its activity reports. Often, researchers deal with only raw data. Such data normally contain numerous fictitious user activities that can create a bias in
Yael Feldman-Maggor   +3 more
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A Private Cloud for Data Mining Education

2018 Sixth International Conference on Enterprise Systems (ES), 2018
Cloud computing meanwhile is an established approach in all kinds of projects over the past few years. This opens new opportunities for research and development, but also for education. One of these opportunities presents itself in the form of dynamically deployable, virtual lab environments.
Arne Koschel   +3 more
openaire   +1 more source

A Systematic Review of Educational Data Mining

2021
As an important part of data mining, educational data mining (EDM) has played a significant role in the field of education. This article reviews the development process of EDM, summarizes limited research directions of EDM from the past five years, and analyses the motivation and purpose of these studies, including the problems that have been solved ...
Fangyao Xu   +3 more
openaire   +1 more source

Introduction to data mining for educational researchers

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16, 2016
The goal of this tutorial is to share data mining tools and techniques used by computer scientists with educational social scientists. We broadly define educational social scientists as being made up of people with backgrounds in the learning sciences, cognitive psychology, and educational research. The learning analytics community is heavily populated
Christopher A. Brooks 0001   +2 more
openaire   +1 more source

Cognitive Study of Data Mining Techniques in Educational Data Mining for Higher Education

2021
Data mining is a subset of Data Science. The future is bright for data science as the amount of data only increases. Educational data mining (EDM) involves mining similar valuable information from data sets that stores academic work information. It focuses on using data mining techniques to discover valuable knowledge from the educational datasets. EDM
Pratiksha Kanwar, Monika Rathore
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Educational data mining - a case study

International Journal of Information and Decision Sciences, 2016
Educational data mining (EDM) is an emerging interdisciplinary research area that deals with the development of methods to explore data originating in an educational context. EDM uses computational approaches to analyse educational data. In this paper, an attempt has been made to propose a system that constitutes an integrated platform for thorough ...
Saurabh Manek   +2 more
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Research on Data Mining in College Education

2008 International Conference on Computer Science and Software Engineering, 2008
Social demand information is very important for college education development, and also be the important guidance of college education. How to obtain all kinds of information and further find its potential link are the college information systems major issues resolved.
Lihua Song   +2 more
openaire   +1 more source

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