Academic Performance Analysis of Information Technology Students in Higher Education Institutions
Deepti Sharma1, Deepshikha Aggarwal2, Disha Grover3
1Deepti Sharma, Department of Information Technology, Jagan Institute of Management Studies, Rohini (Delhi), India.
2Deepshikha Aggarwal, Department of Information Technology, Jagan Institute of Management Studies, Rohini (Delhi), India.
3Disha Grover, Department of Information Technology, Jagan Institute of Management Studies, Rohini (Delhi), India.
Manuscript received on 05 August 2019 | Revised Manuscript received on 12 August 2019 | Manuscript Published on 26 August 2019 | PP: 771-776 | Volume-8 Issue-9S August 2019 | Retrieval Number: I11250789S19/19©BEIESP | DOI: 10.35940/ijitee.I1125.0789S19
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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: This research is conducted to analyse the factors that may affect the academic performance of students in the MCA (Masters in Computer Application) course in Delhi, India. MCA is a three year post graduate programme in Computer Application. This work will help to better understand the factors that commonly affect the performance of students in academics and also will contribute to the pedagogy development of educational institutes. The seven factors that have been considered for the analysis arethe Faculty, time management, interest of students, placements, difficulty of course, sources of study and extra efforts by students. The hypothesis has been developed to establish the relationship between the independent variables which are the seven factors and the dependent variable which is the academic performance. The research is conducted on the data collected from the students through questionnaire and we have chosen to use convenience sampling to conduct this study. The data thus collected is tested using the multiple linear regression model as multiple factors have been considered. The result of the analysis indicate that the Faculty, time management, interest of students, placements, difficulty of course, sources of study and extra efforts by students have a positive effect on the academic performance of the students. Measuring the academic performance of the student is a difficult task as it cannot be measured quantitatively. In most of the cases the student performances are also affected by various environmental, socio-economic and psychological factors. These factors also need to be considered while assessing the academic performance of the students. Still the factors incorporated in this study give a considerable result regarding their influence on the academic performance of the students. The results of the research can be useful for various academic institutions to formulate the educational pedagogy that can accommodate the most influential factors for better academic performance of the students.
Keywords: Data Analysis, Regression, Student performance Analysis, Higher Education, Technical Education, Data Science.
Scope of the Article: Measurement & Performance Analysis