Designing a Reference Model for Learning Analytics Interoperability

Abstract

The application of the learning analytics should overcome the challenge of effective integration of various information and processes into a unified framework to support the development of an open and extensible learning analytics systems. Based on our preliminary identification of the requirements for the learning analytics systems, we present a refined reference model that fulfills these requirements and provide a guideline for effective integration toward the goal of producing an explicit specification of the learning analytics architecture. We elaborate the comprehensive architecture with detailed descriptions, and then we discuss the experimental implementation of the reference model.