A Conceptual Design Framework for Big Data Based Learning Analysis

Beyond clipped or isolated data, big data highlights the integrated and all-around mining of the data related to some subject, which provides an innovative perspective for learning assessment, and big data based learning analytics explores a new approach to learning evaluation and improvement. Key points in terms of big data based process typically involve where to capture the big data, what data to use and how to handle the collected data. This paper proposes a conceptual design framework for big data supported learning assessment. A three-dimensional data resources model, a learning data cube, and a four-stage process model are separately suggested to respond to the mentioned Where, What, and How questions.