Applying Data Analytics and Cumulative Accuracy Profile (CAP) Approach in Real-Time Maintenance of Instructional Design Models

摘要

In a constantly changing climate, professors find themselves in a pressing demand to tailor their ways in schooling, according to the needs of the market and students. In conjunction with providing quality learning experiences, whereas the ambition is to attract the millennial generation that constructs a large portion of the student population. However, in an interconnected world with a massive data generated every second, there are opportunities to use it as a tool to gain insights on the seemingly chaotic environment. The aim of this paper is to provide a way to support decision making made by the instructional design engineers, by providing them with an objective method based on the cumulative accuracy profile curve that allows to assess, retrain and rebuild instructional design models used in constructing courses. Moreover, we propose a set of tools for applying this approach in decision making and managing educational resources more efficiently.