A pedagogic method helps to create an actionable policy from big data through a PDCA cycle. (2016)

• Record Type: Journal Article
• Authors: Koh, Wook; Choi, Jaewon
• Is Part Of: International journal of technology, policy and management. Volume 16:Number 1(2016)
• Page Start: 4
• Page End: 17
• Publication Date: 2016
• Subjects: actionable policy -- active learning -- big data -- higher education -- pedagogy -- PDCA cycle -- plan do check act -- student goals -- student motivation -- learning styles; Technological innovations -- Management -- Periodicals; Technology and state -- Periodicals; 658.51405
• Languages: English
• ISSNs: 1468-4322

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.