Tuesday, October 12, 2021


Author :  Uranchimeg Tudevdagva

Affiliation :  Technical University of Chemnitz

Country :  Germany

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 06, May, 2021

Abstract :

This paper describes a test and case study of self-evaluation of online courses during the pandemic time. Due to the Covid-19, the whole world needs to sit on lockdown in different periods. Many things need to be done in all kinds of business including the education sector of countries. To sustain the education development teaching methods had to switch from traditional face-to-face teaching to online courses. The government made decisions in a short time and educational institutions had no time to prepare the materials for the online teaching. All courses of the Mongolian University of Pharmaceutical Sciences switched to online lessons. Challenges were raised before professors and tutors during online teaching. Our university did not have a specific learning management system for online teaching and e-learning. Therefore professors used different platforms for their online teaching such as Zoom, Microsoft teams for instance. Moreover, different social networking platforms played an active role in communication between students and professors. The situation is very difficult for professors and students. To measure the quality of online courses and to figure out the positive and weak points of online teaching we need an evaluation of e-learning. The focus of this paper is to share the evaluation process of e-learning based on a structure-oriented evaluation model.

Keyword :  Key target, sub target, SURE model, evaluation of evaluation, Mongolian university of pharmaceutical sciences.

For More Detailshttps://aircconline.com/csit/papers/vol11/csit110603.pdf

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