[论文解读] The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education?

Cecilia Ka Yuk Chan, Louisa H. Y. Tsi|arXiv (Cornell University)|May 2, 2023

Online Learning and Analytics被引用 106

一句话总结

本论文综述AI是否能够替代或应协助高等教育教师，主张人类教师在批判性思维、创造力和社会情感学习方面仍然不可或缺，并且应将AI整合以提升教学，為学生、教师和高校提供清晰的路线图。

ABSTRACT

This paper explores the potential of artificial intelligence (AI) in higher education, specifically its capacity to replace or assist human teachers. By reviewing relevant literature and analysing survey data from students and teachers, the study provides a comprehensive perspective on the future role of educators in the face of advancing AI technologies. Findings suggest that although some believe AI may eventually replace teachers, the majority of participants argue that human teachers possess unique qualities, such as critical thinking, creativity, and emotions, which make them irreplaceable. The study also emphasizes the importance of social-emotional competencies developed through human interactions, which AI technologies cannot currently replicate. The research proposes that teachers can effectively integrate AI to enhance teaching and learning without viewing it as a replacement. To do so, teachers need to understand how AI can work well with teachers and students while avoiding potential pitfalls, develop AI literacy, and address practical issues such as data protection, ethics, and privacy. The study reveals that students value and respect human teachers, even as AI becomes more prevalent in education. The study also introduces a roadmap for students, teachers, and universities. This roadmap serves as a valuable guide for refining teaching skills, fostering personal connections, and designing curriculums that effectively balance the strengths of human educators with AI technologies. The future of education lies in the synergy between human teachers and AI. By understanding and refining their unique qualities, teachers, students, and universities can effectively navigate the integration of AI, ensuring a well-rounded and impactful learning experience.

研究动机与目标

• 评估AI在高等教育中的潜在角色，以及教师被替代与被增强之间的张力。
• 识别AI无法复制的独特人类教师品质（如批判性思维、创造力、情感等）。
• 提出在教学中整合AI的策略，同时解决伦理、数据保护与隐私问题。

提出的方法

• 对高等教育中的AI相关文献进行综述。
• 分析来自学生和教师的调查数据，以评估对AI作用的认知。
• 综合研究发现，勾勒AI辅助教学而非AI替代教学的框架。
• 制定一份面向学生、教师和大学的路线图，平衡AI优势与人类教学。

实验结果

研究问题

• RQ1 AI在高等教育中能否替代人类教师，还是增强更为可行？
• RQ2 学生和教育工作者认为哪些人类教师品质是AI不可替代的？
• RQ3 应如何将AI整合到课程和教学法中，以在最大化学习效果的同时降低风险？
• RQ4 在高等教育中实施AI时，必须解决哪些实际问题（数据保护、伦理、隐私）？

主要发现

• 大多数参与者认为人类教师因批判性思维、创造力和情感联系等特质而不可替代。
• 通过人际互动发展起来的社会情感能力被强调为AI无法复制的领域。
• AI应被用于增强教学、而非取代教学，需理解AI与教师如何协同工作。
• 提出一份路线图，引导学生、教师和大学在平衡AI优势与人类主导的教育方面。
• 强调教师和学生的AI素养，以及解决数据保护和伦理方面的考虑。