Designing Learning Analytics for Effective Learning Through Problem-Based Learning

Ma Nang Laik, Ivy Chia


This paper describes the development of a learning analytic course for a post-graduate programme at the authors’ university for adult learning. The analytics course is very timely, given the proliferation of Big Data and the need for industries to embrace analytics to examine and solve a range of business problems using data analytics. This is an educational pedagogy and practice paper to design and develop Learning Analytics using Problem-Based Learning (PBL). The contribution of this paper is to help educators in the community who are keen to design and develop similar courses to have a better understanding of data generation, assessment writing, team formation, and challenges faced. The paper will examine and describe the use of the PBL approach to teach learning analytics. The PBL is adopted as it demonstrates a learning design that integrates industry experience with practice-based learning within the classroom. As an approach, it equips students with the ability to solve complex problems through context-driven inquiries. The course has been well-received by students and this paper will discuss the strengths of this approach.

Keywords: course planning and development, learning analytics, problem-based learning, course delivery, assessment development

DOI: 10.7176/JEP/11-18-03

Publication date:June 30th 2020

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