Educational Data Mining & Students’ Performance Prediction
نویسندگان
چکیده
منابع مشابه
Educational Data Mining & Students’ Performance Prediction
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 equally concerned with this subject, specifically, the students’ performance. This study explores multiple factors theoreticall...
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The main objective of higher education institutions is to provide quality education to its students. One way to achieve highest level of quality in higher education system is by discovering knowledge for prediction regarding enrolment of students in a particular course, alienation of traditional classroom teaching model, detection of unfair means used in online examination, detection of abnorma...
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Data Mining Technique can be used in different fields to extract knowledge from large data. Data Mining is very useful in educational field to find important pattern from the data. The educational institutes are always insists on giving quality education. By using prediction method a model can be developed which can be used to predict students‘ performance. Prediction can be done by using stude...
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The performance in higher secondary school education in India is a turning point in the academic lives of all students. As this academic performance is influenced by many factors, it is essential to develop predictive data mining model for students’ performance so as to identify the slow learners and study the influence of the dominant factors on their academic performance. In the present inves...
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The purpose of higher education organizations have to offer superior education to its students. The proficiency to forecast student’s achievement is valuable in affiliated ways associated with organization education system. Students’ scores which they got in an exam can be used to invent training set to dominate learning algorithms. With the academia attributes of students such as internal mark...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2016
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2016.070531