Multi- layered Higher Education E-Learning Framework

Abstract

In a crisis such as the one in 2020 and 2021, education is undoubtedly one of the areas affected.Teachers and students faced the challenge of communicating virtually and applying different teaching methods to put them beyond their comfort limits.The learning process is conducted in a fully electronic environment, which must be organized so that the materials provided are accessible to all learners.The aim of our paper is to propose a multi-layered elearning framework that integrates methods and tools for managing the learning process in higher education.We based the current study on the experience gained during the pandemic in the training of Latvian and Bulgarian students.As part of our study, we conducted a survey among computer science students to examine the challenges they faced during the lockdown.To process the results, we applied the methods of statistical analysis and machine learning, particularly text mining.The total number of participants is 93, of which 48% are Latvians and the rest -Bulgarians.During the pandemic, the two groups of students used different types of conferencing software -Google Meat and MS Teams, and the same e-learning platform -Moodle.Students describe learning during lockdown as successful -with the most common grades 4 and 5. Universities have generally met their expectations.Based on our research, we offer the multilayered higher education e-learning framework, which consists of 3 layers -human resource management, technological and policy layers.