Educational Data Mining: A state-of-the-art survey on tools and techniques used in EDM
Authors: Ginika Mahajan, Bhavna Saini, India
Over the last decade, limitless data is generating in the field of education. To process this huge raw data, enormous potential is required beyond the manual and time consuming tasks.With the span of time, analytics and data mining is used to extract useful information from large data repositories. Educational Data Mining (EDM) exploits statistical, machine learning and data mining in the domain of education to analyze and predict the educational data using various approaches. EDM seeks to use online modes of learning to better understand learners and their learning, and develop computational approaches to analyze the facts and figures so as to benefit learners. Various machine learning algorithms and research tools are used in Educational Data Mining for analysis and prediction on different types of educational data. This paper presents a survey of applications and tools used in Educational Data Mining. Also, it presents detailed review of current trends in EDM where techniques and results of recent work done in this field are compared.
Keywords: Educational data mining; Data Mining; Applications;
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