Online Assessment Technologies and Future Trends: A Systematic Review

dc.contributor.authorNafrees, Abdul Cader Mohamed
dc.contributor.authorLiyanage, S. R.
dc.contributor.authorDias, N. G. J.
dc.date.accessioned2024-03-26T07:20:23Z
dc.date.available2024-03-26T07:20:23Z
dc.date.issued2023
dc.description.abstractA 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.en_US
dc.identifier.citationNafrees, Abdul Cader Mohamed; Liyanage, S. R.; Dias, N. G. J. (2023), Online Assessment Technologies and Future Trends: A Systematic Review, 8th International Conference on Advances in Technology and Computing (ICATC 2023), Faculty of Computing and Technology, University of Kelaniya Sri Lanka. Page 48-53.en_US
dc.identifier.urihttp://repository.kln.ac.lk/handle/123456789/27846
dc.publisherFaculty of Computing and Technology, University of Kelaniya Sri Lanka.en_US
dc.subjectexam cheating, e-learning, emerging technologies, AI, Online assessment technologiesen_US
dc.titleOnline Assessment Technologies and Future Trends: A Systematic Reviewen_US

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