RISEN AI 提示词框架怎么用？教师教学场景应用实例

What is AI Prompt Engineering?

什么是AI提示词工程

Large Language Models (LLMs) like ChatGPT or Perplexity are trained on vast amounts of human conversation and writing. This allows them to predict the next word in a sentence, based on the patterns in the training data. LLMs rely on probability and context from your AI prompt to predict the best or most likely response.

以ChatGPT或Perplexity为代表的大语言模型（LLMs）接受海量人类对话与文本训练，其核心能力是通过学习数据中的规律，预测一个句子中接下来最可能出现的词语。这些模型依据您所输入AI提示词（prompt）提供的上下文与概率，来生成最佳或最可能的回应。

For example, if you typed “I like to eat …”, it would rely on probability and context based on your prompt to predict the best or most likely response. In this example, chocolate or pizza would both be appropriate responses.

例如，当您输入“我喜欢吃……”时，模型会基于这句话的上下文和概率，预测最合理的后续内容。在此例中，“巧克力”或“比萨”都可能成为恰当的补充。

LLMs also learn which words are important in a sentence and which words are related. This is called Natural Language Processing, or NLP. NLP helps an LLM understand what you are asking and how to respond.

大语言模型能够识别语句中的关键词语并理解关联性，这被称为自然语言处理（NLP）。NLP使模型得以准确解读您的提问意图，并生成恰当的回应。

Why AI Prompt Engineering Matters

为何提示词工程至关重要？

LLMs use pattern recognition to respond to requests. Without human guidance, AI responses can be generic and lack context.

大语言模型依赖模式识别来生成回应，但在缺乏人工引导的情况下，AI的回复往往流于宽泛，缺乏具体情境的针对性。

AI Prompts are your opportunity to introduce your educational expertise:

AI提示词正是您注入教育专业见解的契机：通过精心设计的提示语，您可以将以下关键维度融入与AI的对话中：

Your student’s needs and performance
Your school’s goals
Your standards and local educational guidelines

学生的个性化需求与学习表现
学校的教育目标
所遵循的课程标准与本地化教学规范

Elements of an Effective AI Prompt

构成有效AI提示词的关键要素

AI Models perform better when instructed to adopt an expert role. The role should be specific to your task, for example:

为AI模型设定专业角色能显著提升其回答质量。角色定义需与任务高度相关，例如：

Curriculum Planning Role Prompt: You are a curriculum designer and author with a focus on UbD and Bloom’s taxonomy.

课程设计角色提示词：你是一位专注于“UbD逆向设计教学法”和“布鲁姆教育目标分类学”的课程设计者与编写者。

Supporting Student Exam Prep Prompt: Imagine you’re a test prep coach familiar with spaced repetition and retrieval practice.

学生备考支持提示词：请扮演一位熟悉“间隔重复”与“主动提取”备考技巧的考试辅导教练。

Supporting Struggling Readers Prompt: Assume the role of a literacy specialist experienced in phonics, comprehension strategies, and differentiated instruction.

阅读困难生支持提示词：请以读写教育专家身份进行回答，你在自然拼读法、阅读策略及差异化教学方面有丰富的经验。

All prompts should include a clear, specific description of your task. Think about how you would describe it to a colleague.

所有提示都应包含清晰、具体的任务描述。请以向同事布置工作的精确度，说明你希望实现的目标、需要遵循的规范以及最终应达成的效果。

Clearly describe the end result you are looking for
Describe the impact you want to have on your audience
Describe any steps or best practices the AI model should follow
清晰说明最终需要交付的具体成果形式
说明你希望对受众产生的影响
列出AI应遵循的步骤或最佳实践

The RISEN AI Prompt Framework

RISEN AI 提示词设计框架

AI Prompt Frameworks are specific guides or techniques that help us quickly create high-quality prompts. You can use the RISEN prompt framework to help you craft an effective prompt. Remember:

AI提示词框架是一种系统性的指导方法，能帮助我们快速构建高质量的对话指令。您可以运用RISEN框架来设计高效的提示词，请牢记以下原则：

Be clear, specific, and conversational
Consider your target audience
If at first you don’t succeed, try again!

表述需清晰、具体、符合对话逻辑
始终考虑目标受众的实际需求
保持耐心迭代：首次效果不理想，优化后再尝试！

Example RISEN Prompt

RISEN 框架应用实例

Role: You are a DP History teacher designing a student-facing Source Evaluation Pack to build students’ ability to use primary sources in causation essays.角色：你是IBDP历史科目的教师，正在设计一份面向学生的史料评估学习包，旨在提升学生在因果论述类论文中运用一手史料的能力。
Instruction: Create a downloadable resource pack in PDF form that a class can use in one 50–75 minute lesson or as a short homework sequence.指令：请创建一份可下载的学习资源包，以PDF表单的形式呈现，可用于50-75分钟的课堂活动或家庭作业小系列。
Steps:1. Pick the topic case and gather three primary sources with provenance.2. Write one focused causation question.3. Build a single student page with provenance checks, short source tasks, and a model paragraph4. Add a brief rubric and short teacher notes
步骤：1. 选定一个主题案例，并收集3份带有来源说明的一手史料。2. 写一个聚焦因果关系的问题3. 设计单页学生页，包含来源可信度核查、简短的材料分析任务、示范性分析段落4. 增加简要的评估量规及简明的教师说明
End Goal: A student-ready pack for Year 2 DP History students who know the content well but need clearer guidance on analytical source use. It should help them move from recounting what sources say to judging provenance and using evidence purposefully in a causal argument (a skill directly tied to Paper 1/2 performance).预期成果：这是一份为DP二年级历史学生准备的学习资源包。学生已熟练掌握相关史实，但需在“分析性运用史料”方面获得更清晰的指导。资源包应帮助学生实现以下能力跃升：从复述史料内容，转向评估史料来源，最终实现在因果论证中有目的地运用证据。（该技能与试卷1/2直接关联）
Narrow: The pack must be ready to distribute to students with no extra teacher prep. Limit the pack to one topic case and three primary sources.限定条件：资源包需做到“即取即用”，教师无需额外准备。仅聚焦一个历史主题，包含3份一手史料

Final Thoughts 结语

Remember, the best tasks for AI are tasks where you can easily identify a high-quality response, and tasks that you have relevant classroom context about (student performance, interests, needs, etc.)