Aqa English Language Paper 1 Homework

[Sofía Goldthwait]

Whendoing exams or homework, one might need some extra paper to make a rough sketch, before writing his solution into another paper that must be turned in. The extra paper does not need to be turned in.

"Scratch (work)" is what I use/hear. I would guess that it refers to the fact that the extra work tends to look like hen-scratching, or that it refers to all the work scratched out because it was wrong. Or maybe both.

Consider the threat once posed by the calculator to homework that involved arithmetic. In some cases, the point of such exercises is to learn arithmetic or mathematical principles through practice. Teachers mostly shifted those exercises to the classroom, and prohibited the use of calculators in that setting.

In other cases, homework involved tedious arithmetic, but this was entirely incidental to the learning goals of the exercise (which might be about, say, gravity). After initial reluctance, teachers recognized that it was pointless to make students do these manually. Back when I was in high school, we were forced to use log tables out of the mistaken belief that there is pedagogical value in doing tedious calculations by hand. Mercifully, log tables have now joined the abacus.

Update: In the comments, Professor Timothy Burke points to the book Why They Can't Write: Killing the Five-Paragraph Essay and Other Necessities exploring the widespread pedagogical misuse of writing for teaching subject matter (as opposed to writing skills and critical thinking), as well as his own analysis of the issue.

I completely agree. Essays have been reduced to nothing more than mindless busy work. The existence of chat-GPT now forces teachers to come up with better formative and summative assignments. For instance teachers can have students read a novel, have them create a creative piece to show understanding, and than instruct students to write a short essay expressing their overall experience of the process. In this scenario, if students choose to use chat-GPT, it will most likely be used more as an assistant rather than a full on cheating tool.

Calculators spawned several generations of people who still can't make change without their electronic device. Cellphones spawned several generations of people who can't read a map or spell. Okay, those skills may be unnecessary now. But as long as writing ability remains the single most important skill for a career in science, having an AI write your essays is a big mistake. Essay assignments in English should be like, "Write an essay of at least N words on a subject that matters to you." If you must dictate a topic, just point out that the grade will depend on relevance to the most recent course material. Writing is not an exercise; it's self-discovery!

The same changes are likely to play out with language models. In some cases, the point of assigning an essay is to teach writing skills or critical thinking. The availability of language models has not obviated these skills. To prevent cheating on this type of exercise, instructors could move them to the classroom. Even better: there are many ways to change the exercise so that the tools aren\u2019t helpful. These changes take advantage of inherent limitations of language models that are unlikely to be fixed soon.

In other cases, essays are pure tedium. In fact, it seems to be this kind of essay where language models are doing particularly well, with assignments such as \u201CWrite five good and bad things about biotech\u201D. As an educator, I think this assignment is close to useless if the goal is to learn about biotech. Nor does it teach critical thinking. It\u2019s the equivalent of the log-table drudgery I once faced. If these types of essays are no longer viable, good riddance.

The adjustment will be painful, for sure. The reason instructors assign mind-numbing essays isn\u2019t callousness or incompetence. It\u2019s usually because teachers and adjunct professors are underpaid and overworked, and it\u2019s far easier to ask for \u201Cfive good and five bad things\u201D rather than to design a question that requires reasoning and fosters learning. And the more tedious the essay, the easier to grade, because it\u2019s enough to scan for keywords.

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The company OpenAI made ChatGPT available for free at the end of November 2022. Within a week, it had more than a million users. Other tech companies are racing to put out similar tools. Google launched Bard in early February. The AI company Anthropic is testing a new chatbot named Claude. And another AI company, DeepMind, is working on a bot called Sparrow.

Zhai sees the tool as an assistant. He double-checked its information and decided how to structure the paper himself. If you use ChatGPT, be honest about it and verify its information, the experts all say.

The primary type is a large language model. This type of model learns to predict what words will come next in a sentence or phrase. It does this by churning through vast amounts of text. It places words and phrases into a 3-D map that represents their relationships to each other. Words that tend to appear together, like peanut butter and jelly, end up closer together in this map.

Before ChatGPT, OpenAI had made GPT3. This very large language model came out in 2020. It had trained on text containing an estimated 300 billion words. That text came from the internet and encyclopedias. It also included dialogue transcripts, essays, exams and much more, says Sasha Luccioni. She is a researcher at the company HuggingFace in Montreal, Canada. This company builds AI tools.

In another study, Will Yeadon and his colleagues tested whether AI tools could pass a college exam. Yeadon is a physics teacher at Durham University in England. He picked an exam from a course that he teaches. The test asks students to write five short essays about physics and its history. Students who take the test have an average score of 71 percent, which he says is equivalent to an A in the United States.

People may not always be able to tell if ChatGPT wrote something or not. Thankfully, other AI tools can help. These tools use machine learning to scan many examples of AI-generated text. After training this way, they can look at new text and tell you whether it was most likely composed by AI or a human.

artificial intelligence: A type of knowledge-based decision-making exhibited by machines or computers. The term also refers to the field of study in which scientists try to create machines or computer software capable of intelligent behavior.

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