📚 Essay Writing Framework and Model Essays | 论文写作框架与范文
In OCR Computer Science, extended response questions test your ability to communicate technical ideas clearly and support arguments with evidence. Mastering a clear essay framework is essential for achieving high marks. This guide provides a step-by-step structure and a complete model essay on artificial intelligence and employment, helping you develop confidence in tackling discursive topics.
在OCR计算机科学中，扩展作答题目考察你清晰传达技术思想并用证据支持论点的能力。掌握清晰的论文框架对于取得高分至关重要。本指南提供了一个逐步写作框架和一篇关于人工智能与就业的完整范文，帮助你建立处理议论性主题的信心。
1. Understanding the Essay Question | 理解论文题目
Begin by identifying the command word. "Discuss" means you must explore both sides of an issue. "Evaluate" requires you to make a judgement based on criteria. "Compare" asks you to highlight similarities and differences. Circle the key technical terms (e.g., encryption, automation) so your essay remains focused on the subject matter.
首先识别命令词。"讨论" 意味着你必须探讨问题的两面。"评估" 要求你根据标准做出判断。"比较" 要求你指出异同点。圈出关键技术术语（如加密、自动化），使你的文章紧扣主题。
2. Research and Plan | 研究并规划
Spend five to ten minutes brainstorming. Use a mind map to list potential arguments, technical facts, and real-world examples. For a question on data privacy, you might note GDPR, encryption, targeted advertising, and user consent. Organise these into logical paragraphs: introduction, two or three body paragraphs, and a conclusion.
花五到十分钟进行头脑风暴。使用思维导图列出潜在论点、技术事实和现实案例。针对数据隐私的题目，你可能会记下GDPR、加密、定向广告和用户同意。将这些组织成逻辑段落：引言、两到三个主体段落以及结论。
3. Crafting a Strong Introduction | 撰写有力的引言
The introduction sets the context and presents a thesis statement. Start with a general background sentence about the technology. Then narrow down to the specific issue. Finish with a clear thesis that outlines your overall position or the areas you will discuss. Avoid dictionary definitions and lengthy personal stories.
引言设定背景并提出论点陈述。以关于该技术的概括性背景句开头，然后聚焦到具体问题。最后用一个清晰的论点句收尾，概述你的整体立场或将要讨论的方面。避免使用字典定义和冗长的个人故事。
4. Building Body Paragraphs – The PEEL Method | 构建主体段落 – PEEL方法
Each body paragraph should follow the PEEL structure: Point, Evidence, Explanation, Link. This ensures your argument is clear and well-supported. Use a separate paragraph for each main idea. Do not merge two different arguments in one block of text.
每个主体段落都应遵循PEEL结构：观点、证据、解释、衔接。这确保你的论点清晰且有充分支持。每个主要观点使用一个独立段落，不要将两个不同的论点合并在一段中。
| Element | 要素 | Purpose | 目的 |
|---|---|
| Point | State the main argument clearly. | 明确陈述主要论点。 |
| Evidence | Support with a fact, statistic, or example. | 用事实、统计数据或例子支持。 |
| Explanation | Explain how the evidence proves the point. | 解释证据如何证明观点。 |
| Link | Connect back to the question or to the next paragraph. | 联系回题目或过渡至下一段。 |
5. Using Computer Science Evidence | 使用计算机科学证据
Strong essays draw on specific computer science knowledge. Mention technologies like HTTPS, TCP/IP, or SQL databases. Refer to legal frameworks such as the Computer Misuse Act or the Data Protection Act. Where possible, include recent case studies, such as the NHS WannaCry attack for cybersecurity topics, to show depth of understanding.
优秀的论文引用具体的计算机科学知识。提及HTTPS、TCP/IP或SQL数据库等技术。引用法律框架，如《计算机滥用法》或《数据保护法》。在可能的情况下，加入近期的案例研究，例如网络安全话题中的NHS WannaCry攻击，以展示理解的深度。
6. Presenting Balanced Arguments | 呈现平衡的论点
To score highly in OCR extended responses, you must acknowledge counter-arguments. Use phrases like "On the other hand," or "However, critics argue that…" After presenting an opposing view, briefly evaluate it. For instance, state why one perspective is stronger given current technological trends. This demonstrates analytical thinking.
要在OCR扩展作答中取得高分，你必须承认反方论点。使用"另一方面，"或"然而，批评者认为……"等短语。在呈现对立观点后，简要评价它。例如，陈述为什么基于当前技术趋势某一观点更强。这展示了分析性思维。
7. Writing a Compelling Conclusion | 撰写令人信服的结论
The conclusion should summarise your key arguments and restate your thesis using different words. Do not introduce new ideas. End with a forward-looking statement—perhaps how the technology might evolve or what further actions should be taken. Keep it concise, ideally three to four sentences.
结论应总结你的主要论点并用不同措辞重申论点。不要引入新观点。用一个前瞻性陈述结尾——或许提及该技术可能如何发展，或应采取哪些进一步行动。保持简洁，理想情况下三到四句话。
8. Model Essay: The Impact of Artificial Intelligence on Employment | 范文：人工智能对就业的影响
Question: "Discuss the impact of artificial intelligence on employment. Consider both positive and negative effects." Below is a model essay that follows the framework.
题目："讨论人工智能对就业的影响。考虑正面和负面影响。"下面是一篇遵循该框架的范文。
The rapid advancement of artificial intelligence (AI) is transforming industries worldwide, leading to intense debate about its effect on jobs. While some fear mass unemployment, others argue that AI will generate new opportunities. This essay will examine both the disruptive and constructive impacts of AI on the workforce before concluding that proactive reskilling is key.
人工智能的飞速发展正在改变全球各行业，引发了关于其对就业影响的激烈争论。有人担心大规模失业，而另一些人则认为AI将创造新的机会。本文将审视AI对劳动力市场既具破坏性又具建设性的影响，并得出结论认为主动的再技能培训是关键。
One significant negative effect is job displacement through automation. Routine and repetitive tasks, such as data entry, assembly line work, and basic customer service, are increasingly performed by AI-powered systems. According to a 2023 report by PwC, up to 30% of existing jobs in the UK could be automated by the mid-2030s. This evidence suggests that lower-skilled workers are vulnerable, potentially widening economic inequality if no intervention occurs.
一个显著的消极影响是通过自动化造成的工作岗位流失。重复性常规任务，如数据录入、装配线工作和基础客户服务，越来越多地由AI驱动的系统执行。根据普华永道2023年的一份报告，到2030年代中期，英国多达30%的现有工作岗位可能被自动化。这一证据表明低技能工人容易受到影响，如果不加以干预，可能会扩大经济不平等。
On the other hand, AI also creates new job categories and enhances productivity. Roles in machine learning engineering, data analysis, and AI ethics have emerged, requiring higher-level digital skills. Furthermore, AI can handle mundane tasks, allowing human workers to focus on creative problem-solving and strategic thinking. A study by the World Economic Forum projects that AI could create 97 million new jobs globally by 2025, outweighing the 85 million it may displace.
另一方面，AI也创造了新的工作类别并提高了生产力。机器学习工程、数据分析和AI伦理等领域出现了新的角色，这些需要更高水平的数字技能。此外，AI可以处理单调的任务，让人类工作者专注于创造性问题解决和战略思考。世界经济论坛的一项研究预测，到2025年AI可在全球创造9700万个新工作岗位，超过可能取代的8500万个。
In conclusion, AI presents a dual-edged impact on employment: while it displaces certain routine roles, it simultaneously generates demand for advanced technical skills. The net effect depends heavily on policies promoting education and retraining. Therefore, governments and businesses must collaborate to equip the workforce for an AI-driven economy, turning a potential threat into an opportunity for progress.
总之，AI对就业呈现出双刃剑的影响：它在取代某些常规角色的同时，也创造了对高级技术技能的需求。净影响在很大程度上取决于促进教育和再培训的政策。因此，政府和企业必须合作，为劳动力配备适应AI驱动经济的技能，将潜在威胁转化为进步的机遇。
9. Common Pitfalls and How to Avoid Them | 常见误区及如何避免
Many students lose marks by narrating rather than analysing. Avoid simply describing what a technology does—always link it back to the question's theme. Another error is using informal language or abbreviations like "don't". Write in full words: "do not". Finally, failing to use technical vocabulary makes the essay seem shallow. Prepare a keyword list for each topic.
许多学生因叙述而非分析而失分。避免仅仅描述一项技术是什么——务必将其与题目主题联系起来。另一个错误是使用非正式语言或缩写，如"don't"，应全文写出"do not"。最后，未使用技术词汇会使文章显得肤浅。为每个主题准备一个关键词列表。
10. Final Revision Checklist | 最终检查清单
Before submitting, check that your essay has a clear introduction, PEEL-structured body paragraphs, and a decisive conclusion. Verify that each claim is supported by evidence. Read aloud to catch awkward phrasing and ensure all command words have been addressed. Keep within the word limit if one is given—conciseness is a virtue in computer science writing.
提交前，检查文章是否有清晰的引言、PEEL结构的主体段落和明确的结论。核实每个主张都有证据支持。朗读文章以发现别扭的措辞，并确保所有命令词都已回应。如有字数限制，请控制在范围内——在计算机科学写作中，简洁是一种美德。
Published by TutorHao | Computer Science Revision Series | aleveler.com
更多咨询请联系16621398022（同微信）
或截图后用「扫一扫 → 相册」选择本图