Rethinking Automated Essay Scoring Solutions for Frontline AcademicsJournal: International Journal of Science and Research (IJSR) (Vol.10, No. 7)
Publication Date: 2021-07-15
Authors : Kennedy A. Osakwe; Kunle Ola; Pete Omotosho;
Page : 469-472
Keywords : Safety nets; feedback; re-configuration; similarity scoring;
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.
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Last modified: 2021-08-15 12:57:31