Research Paper | Education Management | Australia | Volume 10 Issue 7, July 2021
Rethinking Automated Essay Scoring Solutions for Frontline Academics
Kennedy A. Osakwe, Kunle Ola, Pete Omotosho
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
Edition: Volume 10 Issue 7, July 2021,
Pages: 469 - 472
How to Cite this Article?
Kennedy A. Osakwe, Kunle Ola, Pete Omotosho, "Rethinking Automated Essay Scoring Solutions for Frontline Academics", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR21707203403, Volume 10 Issue 7, July 2021, 469 - 472
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