Abstract—E-learning has now revolutionized the way of learning process across the world. Following the conventional systems of learning, the Gross Enrollment Ratio (GER) of West Bengal is not at all optimistic. To enhance the enrollments and diminish the drop outs in higher education in West Bengal, e-learning can be a better way out. In this paper an attempt has been made to forecast the increase in higher education enrollments and decrease in drop outs in higher education. Through Fuzzy Delphi Forecasting techniques views are collected from experts regarding the increase of higher education enrollments and decrease of drop outs through web enabled learning systems in comparison to the traditional learning systems.
Index Terms—Drop outs, e-learning, enrollment, Fuzzy Delphi Forecasting, GER
Anirban Das is with the Department of Computer Applications, Dr. B. C. Roy Engineering College, Durgapur, West Bengal, India(e-mail: firstname.lastname@example.org, Phone: +919474623504)
Soumen Nandi is with Tata Consultancy Services, Mumbai, India (e-mail:email@example.com, Phone: +918652276573).
Kajla Basu is with Department of Mathematics, National Institute of Technology, Durgapur, West Bengal, India (e-mail: firstname.lastname@example.org, Phone: +919474532576).
Cite: Anirban Das, Soumen Nandi, and Kajla Basu, "Enhancement of Gross Enrollment Ratio of Higher Education of West Bengal through e-Learning: A Fuzzy Delphi Forecasting Approach," International Journal of Social Science and Humanity vol. 1, no. 4, pp. 278-284, 2011.