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Integration of Grammar Error Correction and BI Dashboard to Support English Language Instruction

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dc.contributor.advisor Anutariya, Chutiporn
dc.contributor.author Jaithong, Part
dc.contributor.other Esichaikul, Vatcharapon
dc.contributor.other Choombala, Thanisa
dc.date.accessioned 2021-01-22T04:28:32Z
dc.date.available 2021-01-22T04:28:32Z
dc.date.issued 2021-01
dc.identifier.other AIT
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/1001
dc.description 56 p. en_US
dc.description.abstract Due to the current deep learning network technological advancement, several deep learning networks have been integrated into a traditional Information System(IS) to append advanced functions to the system. For example, the Grammarly application has a deep learning spelling check sub-system running in the background to automate check spelling while the user is typing. AIT language center(LC) has enormous text data that has not been analyzed yet. Especially the English entry test and EL test, which is steadily growing every year. Mining this dataset would be a benefit to AIT Language center for planing their course offer in the future. In addition, developing an automated English marking essay tool could benefit LC instructor time. By integrating a deep learning grammar error correction network into a marking web application we can accomplish an automated English grammar error on essays. Therefore integration of the Information System, deep learning Grammar Error Correction(GEC), and descriptive statistics brings to this research to develop a prototype web-based application for analyzing the AIT English Entry Test, and improve the essay marking process. en_US
dc.description.sponsorship Royal Thai Government en_US
dc.language.iso en_US en_US
dc.publisher AIT en_US
dc.subject gec en_US
dc.subject deep learning network en_US
dc.subject web application en_US
dc.subject mean stack en_US
dc.title Integration of Grammar Error Correction and BI Dashboard to Support English Language Instruction en_US
dc.type Research report en_US


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