相关实验视频
利用大数据和人工智能来改善跨境贸易 英语教育教育
1Faculty of Education, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
PloS one
|November 5, 2025
概括
人工智能 (AI) 和大数据使用长短期记忆 (LSTM) 网络增强跨境贸易英语教育 (AI-CTEE). 这种个性化的方法显著改善了全球贸易专业人员的语言学习和语言保留.
科学领域:
- 教育技术的教育技术.
- 应用语言学 应用语言学
- 教育中的人工智能
背景情况:
- 全球化需要加强跨境贸易专业人员的沟通技巧.
- 现有的语言教育模式可能无法充分满足国际商业的特定语言需求.
- 大数据和人工智能的整合为个性化和优化语言学习提供了机会.
研究的目的:
- 调查基于人工智能的跨境贸易英语教育 (AI-CTEE) 模型的有效性.
- 为从事跨境贸易的专业人士定制语言教学.
- 评估长期短期记忆 (LSTM) 网络对语言学习和语言能力的影响.
主要方法:
- 开发AI-CTEE模型,整合大数据和人工智能 (AI).
- 利用长短期记忆 (LSTM) 网络,实现个性化的学习体验和动态的课程调整.
- 纵向研究追踪语言能力,学业成绩,沟通技巧和跨文化适应能力.
主要成果:
- 在AI-CTEE模型中,保留率增加了98.5%.
- 观察到CPU利用率 (59%) 和内存消耗 (60%) 的显著改善.
- 该模型实现了194毫秒的响应时间,并将交互时间增加了78分钟.
结论:
- AI-CTEE有效地提高了跨境贸易专业人员的语言学习和语言保留.
- LSTM网络为个性化和适应性语言教育提供了强大的工具.
- 通过人工智能提高语言技能的战略提升对于在全球贸易环境中取得成功至关重要.
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