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
AuthorsOsakwe, 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.

Keywordssafety nets; feedback; re-configuration; similarity scoring
Year2021
JournalInternational Journal of Science and Research
Journal citation10 (7), pp. 469-472
PublisherInternational Journal of Science and Research
ISSN2319-7064
Digital Object Identifier (DOI)https://doi.org/10.21275/SR21707203403
Web address (URL)https://www.ijsr.net/get_abstract.php?paper_id=SR21707203403
Open accessOpen access
Page range469-472
Publisher's version
License
File Access Level
Open
Output statusPublished
Publication dates
OnlineJul 2021
Publication process dates
Deposited29 Jun 2022
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https://acuresearchbank.acu.edu.au/item/8xz29/rethinking-automated-essay-scoring-solutions-for-frontline-academics

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