TOEFL Academic Discussion Writing Sample: Your professor is teaching a class on computer science. Write a post responding to the professor’s question.
Реальные ответы пользователей с оценкой и обратной связью на основе ИИ
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Professor
A new story about Artificial Intelligence (AI) is in the news almost every day. And, of course, companies are spending an enormous amount of money to develop new technologies related to AI. Before next class, I want you to consider the following question: Is AI a dangerous technology that, overall, will be harmful to society, or is it a powerful tool that will improve the lives of people?
Megan
Personally, I think AI is a threat. As AI advances, many jobs may become automated, leaving people without work. That will certainly increase income inequality. Additionally, there’s the risk that AI systems could be programmed with biases or used to discriminate against certain groups. We need to be careful and ensure that AI is developed in an ethical and responsible way. Since we can’t guarantee that right now, I think it is best to slow down.
David
I disagree with Megan. I’m of the opinion that AI has the potential to solve many of the world’s problems, from climate change to disease. Additionally, AI can help us make better decisions by analyzing vast amounts of data and identifying patterns that humans may miss. That said, I agree with Megan that we must ensure that AI is developed and used in a responsible way that benefits society as a whole.
Примеры ответов пользователей и результаты оценки
1Пример ответа пользователя #1
As the GPT era comes, the discussion on AI assistance has become increasingly relevant and warrants careful considerations by policy makers and indust...
Баллы28
Пример ответа пользователя #1
As the GPT era comes, the discussion on AI assistance has become increasingly relevant and warrants careful considerations by policy makers and indust...
Пример ответа пользователя
As the GPT era comes, the discussion on AI assistance has become increasingly relevant and warrants careful considerations by policy makers and industry regulators. In my opinion, AI is a powerful tool that will improve our lives, especially at workplace. I strongly agree with David that AI is able to identify implicit patterns by analyzing big data, contributing to the decision making process. I’d add that AI also enhance our productivity and efficiency at work, as we can finally get rid of repeated tasks and focus on the creative part. Consequently, AI saves our time and allows us to live a more meaningful non-professional life. While Megan raised the valid concern regarding increased unemployment rate and income inequality, she overlooked that AI also create new job positions; for instance, factory workers are replacing by human-machine interaction designers and AI ethicists. To sum up, future education should emphasize more on logical thinking over repetitive imitating.
Результат оценки
1. 子项得分
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Relevance and Contribution to Discussion: 5.0
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Clarity and Elaboration of Viewpoint: 4.5
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Language Use and Grammar: 4.5
2. 预估分数
- 28
3. 任务完成度
这篇文章在任务完成度方面表现良好,成功回答了教授的问题并表达了个人观点。但是,可以进一步改进的地方是在论述中加入更多具体的例子来支持观点。此外,在讨论AI带来的潜在威胁时,可以更详细 地说明如何确保AI的负责任开发和使用。
改进建议示例:
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在讨论AI提高工作效率时,可以举一个具体的例子说明AI如何帮助人们节省时间。
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在讨论如何确保AI负责任地开发和使用时,可以提出一些建议或措施,例如政府监管、行业道德准则等。
4. 文章结构与组织
文章结构清晰,包括引言、主体和结论。每段都集中讨论一个特定观点,并提供支持细节。然而,在段落之间增加过渡句子会使文章更连贯。
改进建议示例:
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在引言和主体之间添加过渡句子:“在这篇文章中,我将详细讨论为什么我认为AI是一种有益的技术,并回应Megan提出的一些担忧。”
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在主体段落之间添加过渡句子:“虽然AI可能导致某些职位被淘汰,但我们也应该看到它为其他领域创造了新的就业机会。”
5. 语法批改
As the GPT era comes, the discussion on AI assistance has become increasingly relevant and warrants careful considerations by policy makerspolicymakers(trouble maker (troublemaker)) and industry regulators. In my opinion, AI is a powerful tool that will improve our lives, especially at workplace. I strongly agree with David that AI is able to identify implicit patterns by analyzing big data, contributing to the decision makingdecision-making(decision making (decision-making)) process. I’d add that AI also enhance our productivity and efficiency at work, as we can finally get rid of repeated tasks and focus on the creative part. Consequently, AI saves our time and allows us to live a more meaningful non-professional life. While Megan raised the valid concern regarding increased unemployment rate and income inequality, she overlooked that AI also create new job positions; for instance, factory workers are replacing by human-machine interaction designers and AI ethicists. To sum up, future education should emphasize more on logical thinking over repetitive imitating.
Section Title: 6 Article Revision
As we enter the era of Generative Pre-trained Transformers (GPT), the debate surrounding AI assistance has become increasingly pertinent, necessitating thoughtful deliberation from policymakers and industry regulators. I concur with David that AI is a powerful tool poised to enhance our lives, particularly in the workplace. Its ability to discern subtle patterns through big data analysis significantly contributes to decision-making processes. Furthermore, AI bolsters productivity and efficiency by automating repetitive tasks, allowing us to concentrate on creative endeavors. This not only saves time but also enables us to lead more fulfilling non-professional lives.
While Megan's concerns about rising unemployment rates and income inequality are valid, her perspective neglects the potential for AI to generate new job opportunities. For example, factory workers may transition into roles such as human-machine interaction designers or AI ethicists. Therefore, it is crucial for future education to prioritize logical thinking over rote imitation in order to adapt effectively to this technological landscape. (161 words)
As the GPT we enter the era comes, the discussion on of Generative Pre-trained Transformers (GPT) [rephrased for clarity and accuracy], the debate surrounding AI assistance has become increasingly relevant and warrants careful considerations by policy makers pertinent [changed "relevant" to "pertinent" for better word choice], necessitating thoughtful deliberation from policymakers and industry regulators. In my opinion, I concur with David that AI is a powerful tool that will improve poised to enhance our lives, especially at workplace. I strongly agree with David that AI is able to identify implicit particularly in the workplace [rephrased for better flow]. Its ability to discern subtle patterns through big data analysis significantly contributes to decision-making processes [rephrased for clarity]. Furthermore, AI bolsters productivity and efficiency by analyzing big data, contributing to the decision making process. I’d add that AI automating repetitive tasks, allowing us to concentrate on creative endeavors [rephrased for better flow]. This not only saves time but also enhance our productivity and efficiency at work, as we can finally get rid of repeated tasks and focus on the creative part. Consequently, AI saves our time and allows enables us to live a lead more meaningful fulfilling non-professional life. lives [rephrased for clarity].
While Megan raised the valid concern regarding increased Megan's concerns about rising unemployment rate rates and income inequality, she overlooked that AI also create inequality are valid, her perspective neglects the potential for AI to generate new job positions; for instance, opportunities [rephrased for better flow]. For example, factory workers are replacing by may transition into roles such as human-machine interaction designers and AI ethicists. To sum up, or AI ethicists [added examples for clarity]. Therefore, it is crucial for future education should emphasize more on to prioritize logical thinking over repetitive imitating.rote imitation in order to adapt effectively to this technological landscape [rephrased conclusion for better flow and emphasis on main point].
Title: 8 思维导图
1. Generative Pre-trained Transformers (GPT)
2. AI assistance debate
3. Big data analysis
4. Productivity and efficiency
5. Creative endeavors
6. Unemployment rates and income inequality
7. New job opportunities
8. Future education priorities
Title: 9 关键词
| Word | Phonetic Symbol | Part of Speech | English Definition | Simplified Chinese Translation | Sample Sentence |
|---|---|---|---|---|---|
| Generative | /ˈdʒɛnərətɪv/ | adjective | Capable of producing or creating something | 生成的 | The generative model can create new data instances based on the patterns it has learned from the training data. |
| Pre-trained | /priːˈtreɪnd/ | adjective | Trained in advance, before being used | 预先训练的 | The pre-trained model was fine-tuned for our specific task to achieve better results. |
| Transformers | /trænsˈfɔrmərz/ | noun | A type of deep learning model that processes input data in parallel rather than sequentially | 变压器 | Transformers have shown great success in natural language processing tasks such as translation and summarization. |
| Big data analysis | /bɪg ˈdeɪtə əˈnæləsɪs/ | noun | The process of examining large and varied sets of data to uncover hidden patterns, trends, and insights | 大数据分析 | Big data analysis helps businesses make more informed decisions by providing valuable insights. |
| Productivity | /ˌprɒdʌkˈtɪvəti/ | noun | The state or quality of being productive, especially in terms of work output | 生产力 | Implementing AI solutions can greatly improve productivity in various industries. |
| Creative endeavors | /kriˈeɪtɪv ɛnˈdɛvərz/ | noun | Efforts or attempts to create something new or original | 创造性努力 | AI can help automate repetitive tasks, allowing humans to focus on creative endeavors. |
| Unemployment rates | /ʌnɪmˈplɔɪmənt reɪts/ | noun | The percentage of the total labor force that is unemployed but actively seeking employment and willing to work | 失业率 | The impact of AI on unemployment rates is a major concern for policymakers. |
| Income inequality | /ˈɪnkəm ˌinikˈwæləti/ | noun | The unequal distribution of income within a population | 收入不平等 | Income inequality has been exacerbated by the rapid advancement of technology. |
| Human-machine interaction | /hjumən məˈʃin ˌintərækʃ(ə)n/ | noun | The study and design of communication between people and computers | 人机交互 | Human-machine interaction designers are responsible for creating intuitive interfaces between users and machines. |
Как оценивается Academic Discussion
Задание TOEFL Academic Discussion оценивается по официальной шкале ETS. Оценка ИИ анализирует каждый ответ по нескольким параметрам.
Релевантность и вклад
Отвечает ли ответ на вопрос и вносит ли значимый вклад в обсуждение?
Использование языка
Грамматическая точность, разнообразие лексики и качество структуры предложений.
Развитие и аргументация
Хорошо ли раскрыты идеи с помощью конкретных примеров и чёткой аргументации?
Распространённые закономерности в ответах
На основе анализа ответов пользователей по этому заданию — вот распространённые закономерности, замеченные в ответах студентов.
Многие студенты высказывают чёткое мнение, но им не хватает конкретных подтверждающих примеров.
Сильные ответы напрямую ссылаются на текст для чтения и точки зрения других участников.
Ответы с более высокой оценкой используют разнообразные структуры предложений и академическую лексику.
Управление временем — ключевой фактор: ответы, которые выглядят поспешными, обычно получают более низкую оценку за развитие идей.
Советы по обучению
Внимательно прочитайте задание и определите все части вопроса перед тем, как начать писать.
Ссылайтесь в своём ответе на текст для чтения и мнения других студентов.
Используйте конкретные примеры для подтверждения основной мысли — избегайте общих формулировок.
Стремитесь к объёму 120–150 слов. Более длинный ответ не всегда лучше; ясность и фокус важнее.
Тренируйтесь писать ответы на время (10 минут), чтобы выработать беглость в условиях экзамена.
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