期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：6
页码：4855-4859
出版社：TechScience Publications
摘要：Data mining is a powerful analytical tool that enables educational institutions to better allocate resources and staff, proactively manage student outcomes, and improve the effectiveness of alumni development. With the ability to uncover hidden patterns in large databases, community colleges and universities can build models that predict, with a high degree of accuracy, the behaviour of population clusters. By acting on these predictive models, educational institutions can effectively address issues ranging from transfers and retention, to marketing and alumni relations. Data mining frameworks in educational systems are normally designed more for power and flexibility than for simplicity. Most of the data mining frameworks expect the users to possess a certain amount of expertise in order to find the right settings in education sector. India’s education system is often cited as one of the main contributors to the economic rise of India. The size of India’s higher education market is about $40 billion per year. Presently about 12.4 percent of students go for higher education from the country. If India were to increase that figure of 12.4% to 30%, then it would need another 800 to one thousand universities and over 40,000 colleges in the next 10 years. This paper presents the development and present scenario of higher education in India by analyzing the various data and also identifies the key challenges that India’s higher education sector is facing.
