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利用人工智能驱动的移动学习平台提高大学英语教学的有效性。

Leveraging AI-enabled mobile learning platforms to enhance the effectiveness of English teaching in universities.

作者信息

Guo Shanshan, Halim Huzaina Binti Abdul, Saad Mohd Rashid Bin Mohd

机构信息

School of Foreign Languages, Xuzhou University of Technology, Xuzhou, China.

Department of Language and Literacy, Faculty of Education, University of Malaya, Kuala Lumpur, Malaysia.

出版信息

Sci Rep. 2025 May 7;15(1):15873. doi: 10.1038/s41598-025-00801-0.

Abstract

The AI era has ushered in a new wave of opportunities for enhancing classroom education, particularly in the realm of higher education. This study investigates the integration of AI and mobile learning technologies to promote innovation and reform in education. It explores how AI-driven platforms, using soft computing networks, can improve students' critical thinking skills and foster deeper engagement with academic subjects. The research also examines the deployment techniques and procedures for incorporating mobile learning technologies into higher education settings. A comparison experiment is conducted to assess the effectiveness of the AI-driven system against traditional learning methods, revealing that AI-based learning enhances student motivation and practical skills. The study highlights the broader implications of AI in education, including its potential to facilitate global collaboration, enhance educational equity, and address the evolving needs of digitally connected learners. Finally, the paper suggests directions for future research, including the application of AI across various academic disciplines and the exploration of ethical considerations in AI-driven education.

摘要

人工智能时代为加强课堂教育,尤其是高等教育领域,带来了新一波机遇。本研究调查了人工智能与移动学习技术的整合,以促进教育创新与改革。它探讨了使用软计算网络的人工智能驱动平台如何提高学生的批判性思维能力,并促进学生对学术科目的更深入参与。该研究还考察了将移动学习技术纳入高等教育环境的部署技术和程序。进行了一项对比实验,以评估人工智能驱动系统相对于传统学习方法的有效性,结果表明基于人工智能的学习增强了学生的学习动机和实践技能。该研究强调了人工智能在教育中的更广泛影响,包括其促进全球合作、提高教育公平性以及满足数字连接学习者不断变化的需求的潜力。最后,本文提出了未来研究的方向,包括人工智能在各个学术学科中的应用以及对人工智能驱动教育中的伦理考量的探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42b/12059037/df6580dbb1f6/41598_2025_801_Fig1_HTML.jpg

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