Educational data mining technology


Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique and increasingly large-scale data that come from educational settings and using those methods to better understand students, and the settings which they learn in.

Whether educational data is taken from students’ use of interactive learning environments, computer-supported collaborative learning, or administrative data from schools and universities, it often has multiple levels of meaningful hierarchy, which often need to be determined by properties of the data itself, rather than in advance. Issues of time, sequence, and context also play important roles in the study of educational data.

Learning analytics and educational data mining in practice: A systematic literature review of empirical evidence
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This paper aims to provide the reader with a comprehensive background for understanding current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its impact on adaptive learning. It constitutes an overview of empirical evidence behind key

An educational data mining tool to browse tutor-student interactions: Time will tell
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A basic question in mining data from an intelligent tutoring system is, What happened when We identify requirements for a tool to help answer such questions by finding occurrences of specified phenomena and browsing them in human-understandable form

Data mining in educational system using weka
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Data mining , the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales, e-commerce, remote sensing, bioinformatics etc. Education is an

Collaborative filtering applied to educational data mining
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We present our overall third ranking solution for the KDD Cup 2010 on educational data mining . The goal of the competition was to predict a students ability to answer questions correctly, based on historic results. In our approach we use an ensemble of collaborative

Educational data mining students performance prediction
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It is important to study and analyse educational data especially students performance. Educational Data Mining (EDM) is the field of study concerned with mining educational data to find out interesting patterns and knowledge in educational organizations. This study is

A survey on educational data mining and research trends
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Abstract Educational Data Mining (EDM) is an emerging field exploring data in educational context by applying different Data Mining (DM) techniques/tools. It provides intrinsic knowledge of teaching and learning process for effective education planning. In this survey

Educational data mining
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Schemas are cognitive knowledge structures that serve to consistently bias our interpretations of events. Some of these schemas are derived early in the developmental process, and some of these early schemas provide maladaptive interpretations of events. In

Mining educational data to reduce dropout rates of engineering students
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Engineering Institutes and Universities grows rapidly in India. This causes a tight competition among these institutions and Universities while attracting the student to get admission in these Institutions/Universities. Most of the institutions and courses opened in

A data model to ease analysis and mining of educational data
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Learning software is not designed for data analysis and mining . Because usage data is not stored in a systematic way, its thorough analysis requires long and tedious preprocessing. In this contribution we first present a data model to structure data stored by Learning

Clustering algorithms applied in educational data mining
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Fifty years ago there were just a handful of universities across the globe that could provide for specialized educational courses. Today Universities are generating not only graduates but also massive amounts of data from their systems. So the question that arises is how can

Using educational data mining methods to study the impact of virtual classroom in e-learning
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In the past few years, Iranian universities have embarked to use e-learning tools and technologies to extend and improve their educational services. After a few years of conducting e-learning programs a debate took place within the executives and managers of

Educational data mining
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Educational data mining is the process of converting raw data from educational systems to useful information that can be used to inform design decisions and answer research questions. Data mining encompasses a wide range of research techniques that includes

Mining educational data to predict students academic performance using ensemble methods
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Educational data mining has received considerable attention in the last few years. Many data mining techniques are proposed to extract the hidden knowledge from educational data . The extracted knowledge helps the institutions to improve their teaching methods and

E-learning and educational data mining in cloud computing: an overview
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E-learning is related to virtualised distance learning by means of electronic communication mechanisms, using its functionality as a support in the process of teaching-learning. When the learning process becomes computerised, educational data mining employs the

Analysis and mining of educational data for predicting the performance of students
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In recent, higher education has increased rapidly. Many new institutions, colleges and universities are being established by both the private and government sectors for the growth of education and welfare of the students. Where a teacher explains the material and

Educational data mining applications
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The tools and techniques of data mining are being adopted by the industries to generate business intelligence for improving decision making. Education institutions are beginning to use data mining techniques for improving the services they provide and for increasing

Big data in educational data mining and learning analytics
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Educational data mining and learning analytics are used to research and build models in several areas that can influence learning systems. Higher education institutions are beginning to use analytics for improving the services they provide and for increasing student

Is gaming the system state-or-trait Educational data mining through the multi-contextual application of a validated behavioral model
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In this paper we discuss the use of a validated behavioral model across multiple contexts. We show that such a model can be used to distinguish between classes of explanations for why that behavior occurs. Specifically, we compare between state and trait explanations for

Educational data mining for prediction of student performance using clustering algorithms
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In recent years, the biggest challenges that educational institutions are facing the explosive growth of educational data and to use this data to improve the quality of managerial decisions. Educational institutions are playing an important role in our society and playing a

Improving the prospects for educational data mining
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Data mining is an important paradigm for educational assessment. The usual assumption is that mining is performed after educational activity with that activity having been designed without regard for the mining process. This paper discusses how the prospects for


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