自动化评估系统可提高考试质量,减少考试焦虑
1Educational Technology and Computer Department, Faculty of Specific Education, Kafrelshiekh University, Kafrelshiekh, Egypt.
PeerJ. Computer science
|March 10, 2025
概括
这项研究引入了一种用于评估大学考试论文的自动化系统,提高质量并减少学生的学术压力. 智能系统在识别和匹配特定标准时达到98%的准确性.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 学术评估 学术评估
背景情况:
- 大学考试论文对于机构质量和认证至关重要.
- 手动评估考试论文是劳动密集型,耗时,不一致的.
- 数字教育和评估的智能系统已经获得了显著的吸引力.
研究的目的:
- 根据正式和技术标准,提出和评估一个用于分析和评估大学考试论文的自动化系统.
- 调查考试纸质量与学生考试焦虑之间的关系.
- 提高考试论文的质量,减轻学生的学术压力.
主要方法:
- 分析了30篇大学考试论文,共包括1800个问题.
- 开发一个用于文本分析和考试论文评估的自动化系统.
- 在50名一年级学生的学术压力测量,使用标准化尺度.
主要成果:
- 在现有考试论文中发现了基本规划和遵守技术标准的缺陷.
- 自动化系统在考试论文质量方面取得了显著的改善.
- 该系统在识别和匹配指定的评估标准方面实现了98%的准确性.
- 观察到学生学业压力的减少.
结论:
- 自动化系统为大学考试论文的一致和有效评估提供了可行的解决方案.
- 通过自动化评估提高考试论文质量,可以通过减少学术压力,积极影响学生的福祉.
- 开发的系统在提高教育评估过程方面显示出高准确性和有效性.
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