International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 8 Issue 11, November 2019


Big Data Learning Analytics for Enhancing Pedagogical Practices

Mahasoona KT


Abstract: There is a rapid expansion of the knowledge in the education system. These systems provide secret information for enhancing student performance. Therefore, to recognize the difference between high-level and low-level students in this academic performance, a predictive data extraction method is important. Educators must recognize the technical tools suitable for fostering creative pedagogical practices. In order to conduct research, communicate and create knowledge, students should use different tools with teachers. Analysis of evaluation data creates new possibilities for improving the educational process by helping teachers and students make intelligent choices in their earlier growth. It also helps teachers in the classroom follow innovative teaching policies in order to access their students ' results. Data analysis thus helps teachers to develop their pedagogical skills. This paper is intended to provide a summary of big data, the techniques used in big data and the relationship between pedagogy and its learning analytical systems.


Keywords: Education Technology, Big Data, Pedagogy, analytical system


Edition: Volume 8 Issue 11, November 2019,


Pages: 638 - 644


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