Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/7021
Title: Online assessment technologies and future trends: a systematic review
Authors: Mohamed Nafrees, Abdul Cader
Liyanage, S. R.
Dias, N. G. J.
Keywords: Exam cheating
e-learning
Emerging technologies
AI
Online assessment technologies
Issue Date: 15-Dec-2023
Publisher: International Conference on Advances in Technology and Computing (ICATC 2023)
Citation: International Conference on Advances in Technology and Computing (ICATC 2023) pp. 48-53.
Abstract: A rapidly expanding method of continuing education in times of epidemic or conflict is online assessment (OA). Numerous tools are now available to perform OA more effectively and maintain the quality of e-learning (EL) as a result of the fast growth of new technologies. In order to analyse OA technologies and their future prospects, this study has conducted a systematic literature review (SLR). These publications were evaluated in light of the study issue, recent developments and future trends. It was shown that while few studies took into account automated feedback providing, the majority of studies concentrated on eradicating OA cheating. Few studies also concentrated on creating software for OA. Additionally, the bulk of studies have taken AI-based research into account. This research has downloaded articles only from 8 publishers and only open access articles. Future researches can be done about identifying techniques, how OA helps for the fair access to the quality education, and implications and considerations of implementing OA technologies.
URI: http://ir.lib.seu.ac.lk/handle/123456789/7021
ISSN: 2756-9160
Appears in Collections:Research Articles

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