人工智能是否正在改变我们所知的学习和评估? 来自ChatGPT实验和概念框架的证据
Oluwaseun Kolade1, Adebowale Owoseni2, Abiodun Egbetokun3
1Sheffield Business School, Sheffield Hallam University, Howard Street, Sheffield, S1 1WB, UK.
Heliyon
|February 21, 2024
概括
聊天GPT可以制作原创的,高质量的学术论文,但在引用和从一个帐户生成各种内容方面存在困难. 高等教育必须适应对生成人工智能挑战的评估.
科学领域:
- 教育中的人工智能
- 高等教育教学的教学.
- 学术诚信 学术诚信
背景情况:
- 以ChatGPT为例的生成性AI为高等教育带来了重大挑战和机遇.
- 人工智能对学习,评估质量和学术可信度的影响存在担忧.
- 人工智能的快速发展需要对传统的教育实践进行重新评估.
研究的目的:
- 检查ChatGPT对高等教育学术论文写作和评估的潜在影响.
- 分析人工智能生成的学术内容的原创性,质量和引用能力.
- 为终身学习中人工智能辅助评估提出一个框架.
主要方法:
- 进行了一个准实验,部署ChatGPT来生成学术论文.
- 生成的文章经过了抄袭检测和独立评分.
- 分析的重点是内容的原创性,质量和引用准确性.
主要成果:
- 聊天GPT展示了从不同的提示产生高度原创和高质量的内容的能力.
- 人工智能很难从同一个账户中生成多个不同的原创文章.
- 引用准确性被确定为一个显著的限制.
结论:
- 高等教育机构必须根据人工智能的进步,调整评估策略.
- 重新思考评估,包括能力 (知道如何) 和绩效 (展示如何) 是至关重要的.
- 提出了人工智能辅助评估的新概念框架,以支持终身学习.
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