教育技术中的人工智能以及使用模糊框架与CRITIC-TOPSIS方法对英语语言的变革性方法
Jingdan Liu1,2, Xujie Bao3,4, Liji Chen1
1School of General Education, Hunan University of Information Technology, Changsha, 410000, Hunan, China.
Scientific reports
|July 15, 2025
概括
人工智能 (AI) 通过个性化学习来增强教育. 像CRITIC-TOPSIS这样的新方法客观地对人工智能方法进行了更好的教学排名,证明了教育技术的优越决策.
科学领域:
- 教育技术的教育技术
- 人工智能的人工智能
- 决策科学 决策科学 决策科学
背景情况:
- 人工智能 (AI) 正在通过个性化和自适应式学习,彻底改变教育技术.
- 机器学习和自然语言处理是教育中的关键AI组件.
研究的目的:
- 通过标准间相关性 (ICCR) 方法来呈现标准重要性潜力,以确定客观权重.
- 在 q-rung orthopair 模糊框架内,通过与理想解决方案相似的顺序偏好工具 (TOPSIS) 调查偏好排名.
- 评估一种有效的人工智能方法来改善英语语言和心理学教学.
主要方法:
- 通过标准间相关性 (ICIR) 来实现客观权重的标准重要性.
- 在 q-rung orthopair 模糊框架下,根据与理想解决方案相似的顺序偏好 (TOPSIS) 的工具.
- 优化和比较分析的Critic-Topsis方法.
主要成果:
- 一个数值示例验证了拟议的AI方法在教学中的有效性.
- 克里蒂克-托普西斯方法证明了其优越性和与现有优化技术的兼容性.
- 该研究为人工智能驱动的教育环境中决策提供了强大的框架.
结论:
- 拟议的CRITIC-TOPSIS方法为评估和优化教育中的AI应用提供了一个强大的工具.
- 决策方法可以扩展到教育之外的各种现实生活应用.
- 未来的研究可以探索这些先进的决策技术的进一步改进和应用.
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