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NO.09 Big Think | 难度:⭐⭐⭐

How LLMs Impact Student Learning?

As artificial intelligence has become a mainstream and ubiquitous tool for hundreds of millions or even billions of people around the world — specifically, through chatbots and large language models (LLMs) like Claude, Gemini, ChatGPT, Llama, and many others — it's both enabled new pathways for problem solving and also led to new pitfalls for students, early career professionals, and non-experts seeking to mimic the illusion of expertise. While many who create, sell, or promote LLMs laud their use cases, a significant worry has arisen among students, teachers, professors, and education researchers: that students are not using these artificial tools to enhance their learning, but rather to replace it, outsourcing the hard and rewarding work of critical thought to these LLMs simply by prompt-hacking them.

To be certain, this is a real problem, and a real new way that students (as well as many others) are using the tools at their disposal to complete their assigned work, with the consequence of short-cutting their own intellectual development. But how big of a problem is this really, and who does it impact the most? That’s what physics graduate student Cameron Bishop wants to know, asking:

“As a student in physics now entering my 3rd year of [graduate studies], have you written about the impact of these LLMs/chatbots on students?”

As always, there's a lot to unpack here, but it's not all "doom and gloom" as some might fear. Let's go through the impacts of these new technologies, but with a view to how students historically have cheated themselves as well, to put things in their proper context.

When it comes to learning, whether in a scholastic environment or otherwise, the goal — as so many misunderstand — is not for the student to get the right answer, or to come up with an acceptable answer, to whatever question they're prompted with. The goal is for the student to gain an understanding of the material: understanding that is a further step along their journey toward mastery of a subject. Whether that's reading comprehension, a foreign language, wrapping your head around a historical event, mathematical fluency, or the ability to solve scientific problems isn't particularly relevant. The goal is to become "good" at whatever you're working toward learning.

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🧐 思考与解析

1. "...While many who create... laud their use cases, a significant worry has arisen... that students are not using..."
这里的 while 引导的是什么从句?that 引导的是什么从句?

(1) While: 让步状语从句。
意思是“尽管/虽然”。逻辑是:虽然支持者称赞 LLM(好的一面),但是(主句转折)教育界产生了担忧(坏的一面)。

(2) That: 同位语从句。
它紧跟在名词 worry 之后,用来具体解释这个“担忧”的内容是什么(即:学生们不是在增强学习,而是在替代学习)。这里的 that 不充当句子成分,只起连接和解释定义的作用。

2. "it's not all 'doom and gloom' as some might fear."
这句话是什么意思?是“正如一些人所担心的那样”吗?

不是。理解逻辑时要注意:否定词 not 在前,as 在后。

如果理解成“正如...担心的那样”,逻辑就变成了“大家担心很糟,结果确实很糟”,这与主句的 not 冲突。

正确逻辑:主句的 not 否定了 as 从句中的预期。意思是:有些人担心是世界末日(doom and gloom),但事实并不是他们担心的那个样子。

3. 难点词汇与逻辑:
(a) "...scholastic environment or otherwise..." 中的 otherwise 是什么意思?
(b) "the goal — as so many misunderstand — is not..." 这里的 as 从句该如何理解?

(a) otherwise: "在其他方面" / "非学校环境"。
这里它是对应 scholastic environment(学校环境)而言的,指自学、职场等非学校的学习场景。例如:The company has problems, financial and otherwise. (公司有财务和其他方面的问题。)

(b) 逻辑:负负得正。
这里不能简单理解为“正如...”。
逻辑链条:很多人“误解”(misunderstand, 负向词) 目标是A,但句子的谓语是 "is not" (not, 否定词)。
结合起来的意思是:“与很多人误解所不同的是,学生学习的目标不是为了获得正确答案(而是为了理解材料)。”

4. "The goal is to become 'good' at whatever..."
这里的 to become 做什么成分?可以换成 becoming 吗?

(1) 成分:表语 (Predicative)。
不定式跟在系动词 is 后面,用来具体说明前面的主语 The goal 到底是什么。

(2) 最好不要换成 becoming。
当主语是 The goal / The aim / The purpose 等表示“目的”的词时,英语习惯用不定式 to do。因为不定式隐含“指向未来、尚未达成”的意味,与“目标”的语义更契合。