人工智能、基本技能和定量素养

Q3 Mathematics Numeracy Pub Date : 2023-01-01 DOI:10.5038/1936-4660.16.1.1438
Gizem Karaali
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引用次数: 4

摘要

ChatGPT是一款免费的基于语言的人工智能考试,于2022年11月推出,这引起了一些教育工作者的担忧,他们担心在容易获取的基于人工智能的作弊机制的背景下,向学生教授基本写作和批判性思维技能的可行性和益处。到目前为止,ChatGPT可以写出相当有说服力的学生水平的文章,但它仍然不擅长回答数量丰富的问题。因此,就目前而言,上述问题可能不会被计算教育界的大部分人所认同。然而,由于谷歌和WolframAlpha绝对有能力回答标准和一些非标准的定量问题,未来一代的人工智能包括这两种能力也不是不可能。因此,这个问题仍然与本杂志的读者有关。当我们继续关注构成定量素养(QL)和定量推理(QR)的更高层次的技能和思维习惯时,我们不应忘记,基本的识字和计算能力仍然是基本的构建模块。当人工智能在这些基本领域取得进展时,我们的人类学生似乎正在失去优势,正如最近的NAEP分数所暗示的那样。在这里,我们鼓励读者关注是什么让QL/QR如此具有挑战性,无论是对人类还是对人工智能。
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Artificial Intelligence, Basic Skills, and Quantitative Literacy
The introduction in November 2022 of ChatGPT, a freely available language-based artificial intelligence, has led to concerns among some educators about the feasibility and benefits of teaching basic writing and critical thinking skills to students in the context of easily accessed, AI-based cheating mechanisms. As of now, ChatGPT can write pretty convincing student-level prose, but it is still not very good at answering quantitatively rich questions. Therefore, for the time being, the preceding concerns may not be shared by a large portion of the numeracy education community. However, as Google and WolframAlpha are definitely capable of answering standard and some non-standard quantitative queries, a future generation of artificial intelligence including both types of capabilities is not out of the question. So, the issue is still relevant to the readers of this journal. As we continue to focus on the higher-level skills and habits of mind that make up quantitative literacy (QL) and quantitative reasoning (QR), we should not forget that basic literacy and numeracy are still foundational building blocks. While AI is making advances in these basic realms, our human students seem to be losing ground, as implied by the most recent NAEP scores. Here we encourage our readership to focus on what makes QL/QR so challenging to teach, to human as well as artificial intelligences.
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来源期刊
Numeracy
Numeracy Mathematics-Mathematics (miscellaneous)
CiteScore
1.30
自引率
0.00%
发文量
13
审稿时长
12 weeks
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