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新机遇,新挑战:生成式人工智能下高等教育教学模式的思考
New Opportunities, New Challenges: Reflections on Higher Education Teaching Models under Generative Artificial Intelligence

DOI: 10.12677/ces.2024.125323, PP. 544-550

Keywords: 生成式人工智能,发展机遇,风险挑战,教学创新
Generative Artificial Intelligence
, Development Opportunities, Risk Challenges, Teaching Innovation

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Abstract:

现阶段高等教育教学过程中存在着诸如教学内容单调、教学方式保守、教学相长度低等各类问题,生成式人工智能技术的出现对高等教育既是一种挑战也是一种机遇。这项技术可以忽视地区间的差异,模拟教师问答;可以生成智能导师系统,实现私人定制学习;可以智能纠错二语写作,实时反馈结果;可以与传统学科结合,促进多学科交叉等等,带给教育领域新的教学模式和思考。但同时,生成式人工智能也面临着许多风险和挑战,比如造成论文造假;影响伦理意识认知;教育运行模式整合影响多方利益等。在未来,如何将这项技术以合适稳妥的方式投入高等教育应用,仍是长期思考的问题。
At this stage, there are various problems in the teaching process of higher education, such as monotonous teaching content, conservative teaching methods, poor effectiveness of teaching and learning synergy, etc. The emergence of generative artificial intelligence technology is both a challenge and an opportunity for higher education. This technology can ignore regional differences and simulate teachers’ questions and answers; it can generate an intelligent tutor system to achieve private customised learning; it can intelligently correct errors in second language writing and provide real-time feedback; it can be combined with traditional disciplines to promote multidisciplinary crossover, and so on, which brings a new mode of teaching and thinking to the field of education. However, at the same time, generative AI is also facing many risks and challenges, such as causing falsification of papers; affecting the perception of ethical awareness; and the integration of education operation mode affecting the interests of multiple parties. In the future, how to put this technology into higher education application suitably and steadily is still a long-term thinking problem.

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