An analysis of online assessment technologies and their future trends

Abstract

Online Assessment (OA) is a rapidly growing mechanism for continuing education during pandemics or war situations. Due to the rapid development of emerging technologies (ETs), several tools are available to conduct OA in a better way to maintain the quality of e-learning (EL). Therefore, this study focuses on analyzing OA technologies and their future trends by conducting a systematic literature review (SLR). From 1525 downloaded research papers, 84 articles were selected. These articles were analyzed based on four main research question themes: recent trends and developments in OA, techniques used in OA, how OA helps for fair access to quality education, and implications and considerations of implementing OA technologies. It was found that the majority of the research focused on eliminating OA cheating, while few studies considered automatic feedback provision. Additionally, few researches focused on software development for OA, while the majority of the articles focused on policy and theoretical development for OA. Further, the majority of the studies have considered AI-based research. This research has downloaded articles only from 8 publishers and only open-access articles. Future research can be done on OA tools development while considering low-bandwidth internet connections.