eLAT: An Exploratory Learning Analytics Tool for Reflection and Iterative Improvement of Technology Enhanced Learning

Educators are in need for powerful Learning Analytics tools in order to improve the effectiveness of their courses and to enhance their students’ performance. In order to help educators to self-reflect on their technology-enhanced teaching and learning scenarios and to help them identify opportunities for interventions and improvements, it is important to provide comprehensible indicators for determining quality and efficiency. In this paper, we present an overview on the goals, requirements, and design of eLAT, a Learning Analytics toolkit which enables teachers to explore and correlate content usage, user properties, user behavior, as well as assessment results based on graphical indicators. The primary aim of eLAT is to process large data sets in real time with regard to individual research interests of teachers and data privacy issues.