Educational data mining in the academic setting: employing the data produced by blended learning to ameliorate the learning process

Abstract

PurposeThe purpose of this paper is to introduce an interactive system that relies on the educational data generated from the online Universities services to assess, correct and ameliorate the learning process for both students and faculty.Design/methodology/approachIn the presented research, data from the online services, provided by a Greek University, prior, during and after the COVID-19 outbreak, are analyzed and utilized in order to ameliorate the offered learning process and provide better quality services to the students. Moreover, according to the learning paths, their presence online and their participation in the services of the University, insights can be derived for their performance, so as to better support and assist them.FindingsThe system can deduce the future learning progression of each student, according to the past and the current performance. As a direct consequence, the exploitation of the data can provide a road map for the strategic planning of universities, can indicate how the learning process can be updated and amended, both online and in person, as well as make the learning experience more essential, effective and efficient for the students and aiding the professors to provide a more meaningful and to-the-point learning experience.Originality/valueNowadays, educational activities in academia are strongly supported by online services, information systems and online educational materials. The learning design in the academic setting is primarily facilitated in the University premises. However, the exploitation of the contemporary technologies and supporting materials that are available online can enrich and transform the educational process and its results.

Academic data derived from a university e-government analytic platform: An educational data mining approach

“… The article describes the academic data, which derived from a University E-government analytic platform, which supports the facilitation of blended learning in a Greek University during and after the COVID19 outbreak [ 1 , 2 ]. University e-government services refer to a set of information systems that facilitate the functionalities of the University and enable the management of the underlying information [ 3 , 4 ].…”

Blended Learning of General Elective Courses under Public Emergency

“…The recovery and reconstruction stage is enriching and summarizing the blended learning of general elective courses. We should summarize the teaching experience in time, improve the blended learning management system, optimize the resources of general elective courses [7].…”

Regularized ensemble learning for prediction and risk factors assessment of students at risk in the post-COVID era

“… 56 has given a thorough review of the existing literature on Educational Data Mining for enhancing e-learning environments with focus on the most widely used methods, together with predicting student performance and the implications of Covid-19 pandemic on e-learning. The authors in 57 have used EDM for improving the learning process and providing better services to students. They analyzed data produced in a blended system before, during and after the COVID-19 pandemic and gave insights on how to update the learning process to aid professors and students.…”