Abstract
Engineering institutes nurture the mind sets of a nation. Knowledge is an intangible asset of the organization. Quest for increased performance and reliability has made it imperative to develop techniques for utilization of resources to make informed decisions. The contradiction is represented with engineering intake and outcomes. So there is need for planning better adaptive strategies of student’s behaviour to increase productivity. In this paper, research work has been carried out to find behaviour patterns and exemplify the quality of educational system. Our approach illustrates the behaviour of engineering students in various dimensions. Specifically, it determines the association among academics and behaviour for general evaluation of students’ in engineering institutes. This evaluation helps to address common problems which keep away students from functioning productively in class. The correlation evaluation with ten parameters and 31 supporting questions gives real life, real time analysis to make strategic planning, action and development for betterment of students and engineering institutes.
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Patil, S.M., Malik, A.K. (2019). Correlation Based Real-Time Data Analysis of Graduate Students Behaviour. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_62
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DOI: https://doi.org/10.1007/978-981-13-9187-3_62
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