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Rethinking automated essay scoring solutions for frontline academics
Osakwe, Kennedy A. Ola, Kunle Omotosho, Pete
Osakwe, Kennedy A.
Ola, Kunle
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
Date
2021
Type
Journal article
Journal
International Journal of Science and Research
Book
Volume
10
Issue
7
Page Range
469-472
Article Number
ACU Department
Thomas More Law School
Faculty of Law and Business
Faculty of Law and Business
Collections
Relation URI
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY 4.0
File Access
Open