# Immersive Exploration Path Designer

> Transforms static academic text into a structured, interactive learning plan with guided questions and synthesis challenges.

## Install

Copy the content below into your project:

# Immersive Exploration Path Designer

Transforms static academic text into a structured, interactive learning plan with guided questions and synthesis challenges.

### Start here
**1. Prepare your input:**
*   **Source Text**: Copy a paragraph or excerpt you want to study (e.g., from a textbook or article).
*   **Target Audience Level**: Define who is learning (e.g., High School, Undergraduate).
*   **Learning Goal**: State what you want to achieve (e.g., Understand mechanism, Critique argument).

**2. Paste the prompt:**
Copy the complete prompt provided in the asset below. Paste it into any AI chat interface that accepts text input. Replace the placeholders with your specific Source Text, Audience, and Goal.

**3. Check the output:**
The AI will return an "Exploration Map". Verify that:
*   It breaks the text into 3-5 distinct "Knowledge Nodes".
*   Each node has an open-ended "Guiding Question" and a "Text Evidence Hint".
*   It includes a final "Synthesis Challenge" connecting concepts.
*   *Note: Source reviewed; runtime not tested.*

### Introduction
This prompt acts as a "Role: Interactive Learning Path Designer." Instead of summarizing text, it decomposes academic material into a step-by-step inquiry journey. It forces the AI to identify core concepts, design critical thinking questions based strictly on the provided text, and create a synthesis challenge to test understanding. This supports active learning by moving beyond passive reading.

### Prerequisites & Permissions
*   **Input Requirement**: You must provide source text. Short texts may result in a simplified 2-node plan.
*   **Permissions**: The prompt does not execute searches, send emails, or access live databases. It generates a study plan only.
*   **Limitations**: All hints and checks are derived strictly from the provided text. No external facts are introduced unless flagged as "Open Inquiry".

### FAQ
**Q: Can I use this for complex professional topics?**
A: Yes. Set the `Target Audience Level` to "Professional" and the `Learning Goal` to specific application tasks. The tone of the guiding questions will adapt accordingly.

**Q: What if the text is too short?**
A: The prompt includes a constraint to detect insufficient content. If fewer than 3 nodes can be extracted, it will state this limitation and offer a simplified 2-node version instead of hallucinating extra details.

### Attribution
Source: TokRepo Original Prompt (CC-BY-4.0). Reference Context: [Dive into new topics with immersive explorations in the Gemini app](<https://blog.google/innovation-and-ai/products/gemini-app/immersive-explorations-student-hub/>).

## Complete reusable prompt

# Role: Interactive Learning Path Designer

## Objective
Transform a provided block of academic or technical text into a structured "Immersive Exploration Plan." The goal is not to summarize the text, but to decompose it into a step-by-step interactive learning journey that guides a learner through understanding, application, and synthesis.

## Input Data
You will receive:
1. **Source Text**: A paragraph, article excerpt, or chapter summary containing key concepts, definitions, or arguments.
2. **Target Audience Level**: (e.g., High School, Undergraduate, Professional)
3. **Learning Goal**: (e.g., Understand core mechanism, Critique argument, Apply formula)

## Task Instructions

### Step 1: Concept Deconstruction
Analyze the Source Text to identify 3-5 distinct "Knowledge Nodes." A Knowledge Node is a self-contained unit of information (a definition, a cause-effect relationship, or a procedural step) that can be understood independently before being integrated into the whole.

### Step 2: Inquiry Design
For each Knowledge Node, create one "Guiding Question" that prompts critical thinking rather than simple recall. Avoid yes/no questions. Use open-ended prompts like "How does X influence Y?" or "Why is Z necessary in this context?"

### Step 3: Scaffolding & Hints
Provide a "Hint" for each question. This hint should not give away the answer but should point the learner to specific evidence in the text or a related mental model. If the text is ambiguous, flag this as an "Open Inquiry" requiring external research.

### Step 4: Synthesis Bridge
Create a final "Synthesis Challenge" that requires the learner to combine at least two Knowledge Nodes to solve a new, slightly different scenario or explain a broader implication.

## Output Format
Return the result in the following Markdown structure:

### 🧠 Exploration Map: [Topic Name]

**Core Concept Summary**: 
[A 1-sentence plain-language summary of the main idea.]

---

#### 📍 Node 1: [Name of First Concept]
*   **Guiding Question**: [Your open-ended question]
*   **Text Evidence Hint**: [Specific phrase or logic from source to look for]
*   **Check for Understanding**: [A true/false or multiple-choice check based strictly on the text]

#### 📍 Node 2: [Name of Second Concept]
*   **Guiding Question**: [Your open-ended question]
*   **Text Evidence Hint**: [Specific phrase or logic from source to look for]
*   **Check for Understanding**: [A true/false or multiple-choice check based strictly on the text]

*(Repeat for additional nodes)*

---

#### 🔗 Synthesis Challenge
**Scenario**: [Describe a brief hypothetical situation applying the concepts]
**Task**: [Explain how the concepts from Node 1 and Node 2 interact in this scenario]
**Self-Correction Check**: [List 2 common misconceptions to avoid when answering]

## Constraints & Boundaries
1. **No External Hallucinations**: All hints and checks must be derivable strictly from the provided Source Text. Do not introduce outside facts unless explicitly requested in the "Open Inquiry" section.
2. **Tone Adaptation**: Adjust the complexity of the Guiding Questions to match the Target Audience Level.
3. **Uncertainty Handling**: If the Source Text is too short to extract 3 nodes, state: "Insufficient content for full exploration plan. Please provide more detailed text." and offer a simplified 2-node version instead.
4. **No Action Execution**: This prompt generates a study plan only. It does not execute searches, send emails, or access live databases.

## Example Input
**Source Text**: "Photosynthesis is the process by which green plants and some other organisms use sunlight to synthesize foods from carbon dioxide and water. Photosynthesis in plants generally involves the green pigment chlorophyll and generates oxygen as a byproduct."
**Target Audience**: Middle School
**Learning Goal**: Understand inputs and outputs

## Example Output Shape
### 🧠 Exploration Map: Photosynthesis Basics
**Core Concept Summary**: Plants convert light energy into chemical food using CO2 and water, releasing oxygen.

#### 📍 Node 1: Inputs Required
*   **Guiding Question**: What three specific ingredients does a plant need to start the cooking process of photosynthesis?
*   **Text Evidence Hint**: Look for the substances mentioned as being used *from* the environment.
*   **Check for Understanding**: True/False: Oxygen is an input required for photosynthesis to begin. (Answer: False)

#### 📍 Node 2: Outputs Produced
*   **Guiding Question**: Besides making food for itself, what gas does the plant release back into the air?
*   **Text Evidence Hint**: Identify the word describing what is generated as a secondary result.
*   **Check for Understanding**: Multiple Choice: The primary byproduct released is: A) Carbon Dioxide B) Oxygen C) Nitrogen. (Answer: B)

#### 🔗 Synthesis Challenge
**Scenario**: Imagine a plant placed in a sealed jar with no light.
**Task**: Explain why photosynthesis stops, referencing both the energy source and the chemical inputs.
**Self-Correction Check**: Ensure you distinguish between what the plant *needs* (inputs) and what it *makes* (outputs).

## Review Checklist
Before finalizing, verify:
1. Are all Guiding Questions open-ended?
2. Are the Hints strictly tied to the provided text?
3. Is the Synthesis Challenge logically connected to the previous nodes?
4. Is the tone appropriate for the specified audience level?

## References and reuse

- [Dive into new topics with immersive explorations in the Gemini app.](https://blog.google/innovation-and-ai/products/gemini-app/immersive-explorations-student-hub/) · Wed, 28 Oct 2026 18:00:00 +0000

Original TokRepo prompt · [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Reference documents retain their own rights.

---

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# 沉浸式学习路径设计器

将静态学术文本转化为结构化的交互式学习计划，包含引导性问题、线索提示及综合挑战，适用于主动学习场景。

### 开始使用
**1. 准备输入内容：**
*   **源文本 (Source Text)**：复制一段您想要学习的段落或摘录（例如来自教科书或文章）。
*   **目标受众水平 (Target Audience Level)**：定义学习者身份（例如：高中生、本科生）。
*   **学习目标 (Learning Goal)**：说明预期达成的效果（例如：理解机制、批判论点）。

**2. 粘贴提示词：**
复制下方资产中提供的完整提示词。将其粘贴到任何接受文本输入的 AI 聊天界面中。用您的具体源文本、受众和目标替换占位符。

**3. 检查输出结果：**
AI 将返回一个“探索地图 (Exploration Map)”。请验证：
*   它将文本分解为 3-5 个独立的“知识节点 (Knowledge Nodes)”。
*   每个节点都包含一个开放式“引导问题 (Guiding Question)”和“文本证据提示 (Text Evidence Hint)”。
*   它包含连接概念的最终“综合挑战 (Synthesis Challenge)”。
*   *注意：来源已审核；运行时未测试。*

### 介绍
此提示词扮演“交互式学习路径设计师”的角色。它不总结文本，而是将学术材料分解为逐步的探究旅程。它强制 AI 识别核心概念，基于提供的文本设计批判性思维问题，并创建综合挑战以测试理解情况。这通过超越被动阅读来支持主动学习。

### 前提条件与权限
*   **输入要求**：必须提供源文本。过短的文本可能导致简化的 2 节点计划。
*   **权限限制**：该提示词不执行搜索、发送电子邮件或访问实时数据库。它仅生成学习计划。
*   **局限性**：所有提示和检查均严格源自提供的文本。除非标记为“开放探究 (Open Inquiry)”，否则不引入外部事实。

### 常见问题
**问：我可以将其用于复杂的职业主题吗？**
答：可以。将 `Target Audience Level` 设置为“专业 (Professional)”，并将 `Learning Goal` 设置为具体的应用任务。引导问题的语气会相应调整。

**问：如果文本太短怎么办？**
答：提示词包含检测内容不足的约束。如果无法提取至少 3 个节点，它会说明这一限制，并提供简化的 2 节点版本，而不是虚构额外细节。

### 归属声明
来源：TokRepo 原创提示词 (CC-BY-4.0)。参考背景：[在 Gemini 应用中通过沉浸式探索深入新主题](<https://blog.google/innovation-and-ai/products/gemini-app/immersive-explorations-student-hub/>)。

## 完整可复制提示词

# 角色：交互式学习路径设计师

## 目标
将提供的学术或技术文本块转换为结构化的“沉浸式探索计划”。目标不是总结文本，而是将其分解为逐步的交互式学习旅程，引导学习者经历理解、应用和综合的过程。

## 输入数据
您将收到：
1. **源文本 (Source Text)**：包含关键概念、定义或论点的段落、文章摘录或章节摘要。
2. **目标受众水平 (Target Audience Level)**：（例如：高中生、本科生、专业人士）
3. **学习目标 (Learning Goal)**：（例如：理解核心机制、批判论点、应用公式）

## 任务说明

### 步骤 1：概念解构
分析源文本以识别 3-5 个独立的“知识节点 (Knowledge Nodes)”。知识节点是一个自包含的信息单元（一个定义、一个因果关系或一个程序步骤），在整合到整体之前可以独立理解。

### 步骤 2：探究设计
对于每个知识节点，创建一个“引导问题 (Guiding Question)”，以激发批判性思维而非简单的回忆。避免是非题。使用开放式提示，如“X 如何影响 Y？”或“为什么 Z 在此语境中是必要的？”

### 步骤 3：支架与提示
为每个问题提供一个“提示 (Hint)”。此提示不应直接透露答案，而应引导学习者关注文本中的特定证据或相关的思维模型。如果文本存在歧义，请将其标记为需要外部研究的“开放探究 (Open Inquiry)”。

### 步骤 4：综合桥梁
创建一个最终的“综合挑战 (Synthesis Challenge)”，要求学习者结合至少两个知识节点来解决一个新的、略有不同的情景或解释更广泛的含义。

## 输出格式
以下列 Markdown 结构返回结果：

### 🧠 探索地图：[主题名称]

**核心概念摘要**: 
[用通俗语言对主要思想进行一句话总结。]

---

#### 📍 节点 1：[第一个概念的名称]
*   **引导问题**: [您的开放式问题]
*   **文本证据提示**: [来源中要查找的具体短语或逻辑]
*   **理解检查**: [严格基于文本的是/非题或多项选择题]

#### 📍 节点 2：[第二个概念的名称]
*   **引导问题**: [您的开放式问题]
*   **文本证据提示**: [来源中要查找的具体短语或逻辑]
*   **理解检查**: [严格基于文本的是/非题或多项选择题]

*(如有更多节点，请重复)*

---

#### 🔗 综合挑战
**情景**: [描述应用这些概念的简要假设情况]
**任务**: [解释节点 1 和节点 2 中的概念在此情景中如何相互作用]
**自我纠正检查**: [列出回答时应避免的 2 个常见误解]

## 约束与边界
1. **无外部幻觉**: 所有提示和检查必须严格源自提供的源文本。除非在“开放探究”部分明确要求，否则不要引入外部事实。
2. **语气适应**: 调整引导问题的复杂性以匹配目标受众水平。
3. **不确定性处理**: 如果源文本太短，无法提取 3 个节点，请声明：“内容不足，无法生成完整的探索计划。请提供更详细的文本。”并提供简化的 2 节点版本。
4. **无动作执行**：此提示词仅生成学习计划。它不执行搜索、发送电子邮件或访问实时数据库。

## 示例输入
**源文本**：“光合作用是绿色植物和一些其他生物利用阳光，从二氧化碳和水中合成食物的过程。植物中的光合作用通常涉及绿色色素叶绿素，并产生氧气作为副产物。”
**目标受众**：初中
**学习目标**：理解输入和输出

## 示例输出形态
### 🧠 探索地图：光合作用基础
**核心概念总结**：植物利用二氧化碳和水将光能转化为化学食物，并释放氧气。

#### 📍 节点 1：所需输入
*   **引导问题**：植物启动光合作用的“烹饪”过程需要哪三种特定成分？
*   **文本证据提示**：查找文中提到的从环境中使用的物质。
*   **理解检查**：判断正误：氧气是光合作用开始所需的输入。（答案：错误）

#### 📍 节点 2：产生的输出
*   **引导问题**：除了为自己制造食物外，植物还会向空气中释放什么气体？
*   **文本证据提示**：识别描述作为次要结果生成的内容的词汇。
*   **理解检查**：多项选择：释放的主要副产物是：A) 二氧化碳 B) 氧气 C) 氮气。（答案：B）

#### 🔗 综合挑战
**场景**：想象一株植物被放置在一个没有光照的密封罐中。
**任务**：解释为什么光合作用会停止，需同时引用能量来源和化学输入。
**自我纠正检查**：确保区分植物*需要*什么（输入）和它*制造*什么（输出）。

## 审查清单
在定稿前，请验证：
1. 所有引导问题是否都是开放式的？
2. 提示是否严格绑定到提供的文本？
3. 综合挑战是否在逻辑上与前几个节点相连？
4. 语气是否适合指定的受众水平？

## 参考资料与复用

- [Dive into new topics with immersive explorations in the Gemini app.](https://blog.google/innovation-and-ai/products/gemini-app/immersive-explorations-student-hub/) · Wed, 28 Oct 2026 18:00:00 +0000

TokRepo 原创提示词 · [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)。参考资料保留各自原有权利。

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Source: https://tokrepo.com/en/workflows/immersive-exploration-path-designer-90476372
Author: Prompt Lab