基于人工智能的论文评分系统

Adeyanju Ibrahim A., Oderinde Kehinde Rachael, A. O. Titilayo, Gbadamosi Omoniyi. Ajoke, Makinde Bukola Oyeladun, Falohun Adeleye Samuel
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引用次数: 0

摘要

教学人员面临着许多挑战,如果这些挑战得到改善,将有助于减少花费在与学生论文评分相关的单调任务上的时间。然而,这些都使得评分工作既耗时又费钱,因此,一个能够处理这些任务的自动化系统是非常可取的。本研究开发的自动论文评分系统仅限于对短文和结构化论文进行评分。该系统使用 Java 编程语言进行实施,并使用带有 WAMPSERVER 的 MySQL 关系型数据库系统作为后端。研究结果表明,该系统具有用户友好型模块,使用户能够轻松浏览各种界面并按要求工作。开发的系统与人工评分员的精确一致率为 0.4,皮尔逊相关性为 0.93。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Based Essay Grading System
There are quite a number of challenges faced by teaching staff which if ameliorated can help reduce the quality of time spent on monotonous task associated with students essays grading More so, these days in Nigeria and other related parts of the world institutions deal with a large number of students. These however make grading time consuming and costly, therefore an automated system that can handle the tasks is highly desirable. The developed automated essay grading system in this research is restricted to grading of short and structured essay responses. Java programming language was used for the implementation and MySQL relational database system with WAMPSERVER as the back end. The results showed the user-friendly modules which enable users to navigate through various interfaces easily and work as required. The developed system has an Exact Agreement rate of 0.4 and a Pearson Correlation of 0.93 with human graders.
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