Osakwe, Kennedy A. and Ola, Kunle and Omotosho, Pete (2023) Automated Essay Scoring (AES) System in COVID 19 Pandemic: A Contactless Academia Approach. In: Research Highlights in Language, Literature and Education Vol. 4. B P International, pp. 1-20. ISBN 978-81-963114-6-9
Full text not available from this repository.Abstract
The objective of this scoping review is to identify the suitability of AES products in higher education and examine the type of methods used to present these products. The 2019 SAR COV-2 outbreak introduced the concept of "contactless" and established it as the norm for the majority of businesses as a risk-reduction measure against coronavirus exposure. In higher education, there are numerous exposure scenarios where contact presents a risk. Handling and grading essay scripts from assignments, tasks, research outputs, and more is one of them. The inclusion of the "Automated Essay Scoring" (AES) system in the mitigation toolkits for higher education institutions is a crucial step that should be taken into consideration.
This study was undertaken in the form of a scoping review using the Prisma flow sequence of literature search and selection from 6 databases.
Different AES products, literatures and research designs were employed in the investigation of AES products. The outcome of reviewed literatures varied on suitability of AES in scoring essay task in Higher Institution of Learning.
Academics and scorers should use the appropriate AES to evaluate and score assignments, written tasks, essays, dissertations, and any other academic written output, with exceptional cases assessed manually as may be required by the AES.
Item Type: | Book Section |
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Subjects: | Impact Archive > Social Sciences and Humanities |
Depositing User: | Managing Editor |
Date Deposited: | 11 Oct 2023 04:01 |
Last Modified: | 11 Oct 2023 04:01 |
URI: | http://research.sdpublishers.net/id/eprint/2906 |