Leaders

Objectives of WA4 “Pedagogical Development and Learning Analytics”

The purpose of this work area is to develop and evaluate new pedagogical methods and tools, such as data-driven learning analytics, to support scaling-up and scaling-out education in AI and transformative technologies. To drive the development, there is a need to establish a policy for using learning analytics data on a university level. Based on the policy, it is possible to extract relevant data enabling new pedagogical methods that make use of the knowledge gained through the learning analytics.

One area that is especially interesting is to leverage AI to support education, both on the course and the program level. This could for example be in the form of data-driven learning analytics. Special emphasis should be placed on how AI can benefit the pedagogical methods of delivering the content.

The goals are to provide a solid pedagogical and educational basis for data-driven decision making in education that would ultimately lead to improved learning and teaching at scale.