Title: A pedagogic method helps to create an actionable policy from big data through a PDCA cycle

Authors: Wook Koh; Jaewon Choi

Addresses: Department of Media, Ajou University, Worldcupro 206, Yeongtong-gu, Suwon 443-749, Korea ' Department of Media, Ajou University, Worldcupro 206, Yeongtong-gu, Suwon 443-749, Korea

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.

Keywords: actionable policy; active learning; big data; higher education; pedagogy; PDCA cycle; plan do check act; student goals; student motivation; learning styles.

DOI: 10.1504/IJTPM.2016.075941

International Journal of Technology, Policy and Management, 2016 Vol.16 No.1, pp.4 - 17

Received: 03 Nov 2014
Accepted: 26 May 2015

Published online: 17 Apr 2016 *

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