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              <text>Analytics in e-learning</text>
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              <text>Data analytics; E learning; Higher education; Predictive analytics; Principle component analysis (PCA)</text>
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              <text>Predictive analytics play an important role in the evolving dynamics of higher education. There has been a steady up rise in use of technology in the field of education. e-learning is seen as a futuristic approach of learning. Hence, the study of factors influencing success in e-learning courses is relevant to the current scenario. Use of predictive analytics in virtual learning environment would provide insight on learning patterns of students. The learning data available in the traditional teaching environment is different from the one, which is available from virtual learning. This paper tries to identify various attributes associated with e learning which can help in making the learning process effectual.  International Research Publication House.</text>
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              <text>Tom S.T.; Tulasi B.</text>
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              <text>International Journal of Engineering Research and Technology, Vol-11, No. 2, pp. 319-332.</text>
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              <text>International Research Publication House</text>
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              <text>ISSN: 9743154</text>
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              <text>Tom S.T., Department of Computer Science, CHRIST (Deemed to be University, Bengaluru, Karnataka, India; Tulasi B., Department of Computer Science, CHRIST (Deemed to be University, Bengaluru, Karnataka, India</text>
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