A pedagogic method helps to create an actionable policy from big data through a PDCA cycle
by Wook Koh; Jaewon Choi
International Journal of Technology, Policy and Management (IJTPM), Vol. 16, No. 1, 2016

Abstract: Big data and learning analytics for higher education is a rapidly growing field with disruptive potential. However, there has been little research reported on a pedagogic method that helps to create an actionable policy from big data. In recent years, there is a meaningful debate that big data alone cannot improve teaching, and more research is needed from a pedagogic point of view. We, therefore, developed a pedagogic method called BDAL (big data for active learning) that helps to create an actionable policy through a PDCA (plan-do-check-act) cycle. It facilitates students to examine their goals and motivations, to improve learning styles, and to be an active learner. An experiment was conducted on 556 undergraduate students for a control group and an experimental group. With the help of BDAL, we were able to gain an actionable policy to improve education further both in and out of classrooms.

Online publication date: Sun, 17-Apr-2016

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