ICT Utilization and Improving Students Performance in Higher Education
Sumati Pathak1, Rohit Raja2, Vaibhav Sharma3, Srinivas Ambala4 

1Sumati Pathak, Department of CSIT, DRCVRAMAN University Bilaspur, India.
2Rohit Raja, Department of Centre for Science and Environment, Sreyas Institute of Engineering and Technology, Nagole, Hyderabad, India
3Vaibhav Sharma, Department of CSIT, DRCVRAMAN University Bilaspur, India.
4SrinivasAmbala, Department of Centre for Science and Environment, Sreyas Institute of Engineering and Technology, Nagole, Hyderabad, India. 

Manuscript received on 09 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 5120-5124 | Volume-8 Issue-2, July 2019 | Retrieval Number: A1825058119/19©BEIESP | DOI: 10.35940/ijrte.B1825.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Nowadays, higher education providing institutions depend upon Information and Communication Technologies (ICT) for all purposes like teaching, administration, learning and other research related works. ICT is found to be a major resource for bringing competitive growth for an organization. In general, the use of ICT in higher education institution plays a vital role in providing modern learning approaches. Further, the utilization of data mining in ICT can predict the performance of students and offer a way to improve it. This paper identifies the usage of ICTs among higher graduates and the impact of parameters such as gender, area of interest as well as name of the university. In addition, data mining based ranking algorithm is introduced in order to analyze the performance of students. The evaluation results show that the use of ICT in higher education provides technological improvements and these enhancements are associated with factors such as gender, area of interest as well as university. Moreover, the ranking algorithm can easily evaluate the ICT based performance of higher education institutions.
Index Terms: ICT, Data Mining, Ranking Algorithm, Higher Education Institutions.

Scope of the Article: Data Mining