Designing an Education Database in a Higher Education Institution for the Data-Driven Management of the Educational Process

Abstract

During the past two decades, higher education institutions have been experiencing challenges in transforming the traditional way of in-class teaching into blended learning formats with the support of e-learning technologies that make possible the collection and storing of considerable amounts of data on students. These data have considerable potential to bring digital technologies in education to a new level of personalized learning and data-driven management of the educational process. However, the way data are collected and stored in a typical university makes it difficult to achieve the mentioned goals, with limited examples of data being used for the purposes of learning analytics. In this work, based on the analysis of existing information systems and databases at Siberian Federal University, we propose principles of design for a university database architecture that allow for the development and implementation of a data-driven management approach. We consider various levels of detail of education data, describe the database organization and structure, and provide examples of learning analytics tools that can benefit from the proposed approach. Furthermore, we discuss various aspects of its implementation and associated questions.

Hybrid Approach to Predicting Learning Success Based on Digital Educational History for Timely Identification of At-Risk Students

“…Based on the student grade book data and the data on changes in student status, a digital educational history for every individual was arranged. We imply the digital educational history to be multidimensional structured dynamic data on student academic activity and their learning outcome [46,47].…”

“…In particular, it is highly desirable to identify in which specific courses the difficulties have arisen, i.e., to solve the task of predicting academic success for each course. Such models for predicting success based on digital footprint data in the electronic educational environment has been previously developed and tested in the educational process at SibFU [47,49].…”