Abstract

The COVID-19 pandemic caused many educational institutions in the world to switch to the distance education process, and this process was called "Emergency Remote Teaching". This urgent transition process has caused many problems in educational environments. One of the problems is the subject of measurement and evaluation. Along with the pandemic, many institutions have used various online assessment systems to make measurements and evaluations online, and researchers have conducted research on these online assessment systems. This research focus on the features of the online assessment systems and aims to examine the trends towards the prominent features of the online assessment systems in the Emergency Remote Teaching period. For this purpose, the prominent online assessment systems have been determined by systematically analyzing academic studies published in 2020, and answers have been sought to the following research questions: (1) which platforms they support, (2) which security features they have, and (3) what common features they have. Identifying trends in the characteristics of online assessment systems is expected to guide practitioners, decision-makers, researchers, and system developers in the process of selecting and/or developing an online assessment system for use in online measurement and evaluation.

Details

Title
Emerging trends of online assessment systems in the emergency remote teaching period
Author
Topuz, Arif Cem 1   VIAFID ORCID Logo  ; Saka Eda 2   VIAFID ORCID Logo  ; Fatsa, Ömer Faruk 3   VIAFID ORCID Logo  ; Kurşun Engin 4   VIAFID ORCID Logo 

 Ardahan University, Department of Computer Engineering, Engineering Faculty, Ardahan, Turkey (GRID:grid.449062.d) (ISNI:0000 0004 0399 2738) 
 Bayburt University, Department of Computer Technologies, Vocational School of Technical Sciences, Bayburt, Turkey (GRID:grid.440426.0) (ISNI:0000 0004 0399 2906) 
 Ministry of Education, Afyonkarahisar, Turkey (GRID:grid.440426.0) 
 Atatürk University, Department of Computer Education and Instructional Technologies, Kazım Karabekir Education Faculty, Erzurum, Turkey (GRID:grid.411445.1) (ISNI:0000 0001 0775 759X) 
Publication year
2022
Publication date
Dec 2022
Publisher
Springer Nature B.V.
e-ISSN
21967091
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2644603802
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.