Rethinking automated essay scoring solutions for frontline academics

Journal article

Osakwe, Kennedy A., Ola, Kunle and Omotosho, Pete. (2021). Rethinking automated essay scoring solutions for frontline academics. International Journal of Science and Research. 10(7), pp. 469-472. https://doi.org/10.21275/SR21707203403

Publication dates
Authors	Osakwe, Kennedy A., Ola, Kunle and Omotosho, Pete
Abstract	With the surging digital revolution and increasing throughput in student numbers, the traditional methodsadopted in academia would need to give way to more efficient, effective and faster methods.One of such areas lagging in academia is the grading of student?s scripts especially essay tasks which for ages had been done manually.The automated essay scoring (AES) system automatically scores and evaluate essay scripts and provide outcomes. Theobjective of this study is to identify safety nets requiredin the deployment of AES systemsin institutions of higher learning.To achieve this, a cross section survey of academics was undertaken to seek their opinion. It revealed that theAES system should integrate cyber safety, feedback, similarity scoring, re-configurability and artificial intelligence capabilities.
Keywords	safety nets; feedback; re-configuration; similarity scoring
Year	2021
Journal	International Journal of Science and Research
Journal citation	10 (7), pp. 469-472
Publisher	International Journal of Science and Research
ISSN	2319-7064
Digital Object Identifier (DOI)	https://doi.org/10.21275/SR21707203403
Web address (URL)	https://www.ijsr.net/get_abstract.php?paper_id=SR21707203403
Open access	Open access
Page range	469-472
Publisher's version	OA_Osakwe_2021_Rethinking_automated_essay_scoring_solutions_for.pdf License CC BY 4.0 File Access Level Open
Output status	Published
Online	Jul 2021
Publication process dates
Deposited	29 Jun 2022

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