How to Ask Research Questions an AI Can Actually Help With

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-research-AI-and-asking-better-questions-teen

1. Why does a vague prompt like 'tell me about climate change' typically produce an unsatisfactory response?

   1. Climate change is too controversial for AI to discuss accurately
   2. Vague prompts give the AI too much freedom to interpret what information is most important
   3. The AI lacks internet access to find current information
   4. The AI automatically selects the most important facts without user input

2. Which of the following elements is MOST important to include when asking an AI for research help?

   1. A warning that the information will be used for a grade
   2. The exact word count you need
   3. A polite greeting and thank you
   4. Specific boundaries like time period, location, or type of source

3. What does it mean to 'iterate' when using AI for research?

   1. Refining and improving your prompt based on the AI's previous responses
   2. Typing your question as fast as possible
   3. Asking the AI to generate multiple answers at once
   4. Starting over with a completely new topic

4. Why should you ask for opposing views when using AI for research?

   1. To avoid bias and get a more complete picture of an issue
   2. Opposing views are not helpful for academic research
   3. To prove that your original question was wrong
   4. To make the AI work harder and use more energy

5. Why is saving your successful prompts a valuable practice?

   1. Good prompts can be reused across different subjects and assignments
   2. The AI will remember your saved prompts automatically
   3. Because AI tools charge money for each prompt you type
   4. It is required by school academic honesty policies

6. A student writes: 'Find three articles about renewable energy benefits published in 2023 from scientific journals.' This prompt demonstrates which principle?

   1. Specificity in time, source type, and topic
   2. Vague questioning
   3. Using iteration incorrectly
   4. Asking for the AI's opinion

7. What is the main argument of this lesson's 'big idea'?

   1. Students should stop using search engines and use only AI
   2. AI can answer any question without clarification
   3. The quality of your results depends mainly on how well you frame your questions
   4. AI tools are more important than research skills

8. Which term describes the process of narrowing and focusing your research question?

   1. Iteration
   2. Prompt copying
   3. Question framing
   4. Source scanning

9. A student improves their first prompt based on what they learned from the AI's answer. This demonstrates which key concept?

   1. Topic switching
   2. Question framing
   3. Source verification
   4. Iteration

10. What is likely to happen if you ask an AI to 'explain the causes of World War II' without any additional context?

    1. The AI will refuse to answer due to insufficient information
    2. You will get a specific, detailed analysis of economic factors only
    3. You will receive a very long, general overview covering everything
    4. The AI will ask you clarifying questions automatically

11. Which of these prompts would MOST likely produce the most useful research results?

    1. What is the American Revolution?
    2. Compare the economic causes of the American Revolution with the French Revolution
    3. Everything about the American Revolution
    4. Tell me about the American Revolution

12. The lesson compares 'bad' and 'good' prompt examples. What makes the 'good' example effective?

    1. It uses more technical vocabulary
    2. It includes specific parameters like time period, comparison points, and focus areas
    3. It is shorter and simpler
    4. It asks the AI to be creative and fun

13. A student asks: 'What are the pros and cons of remote learning?' Why might this prompt be considered incomplete?

    1. The student should have asked about a different topic
    2. The topic is too controversial for AI to handle
    3. Pros and cons questions always confuse AI systems
    4. It does not specify a time period, location, or type of sources to consider

14. Why is the ability to write good research questions described as 'reusable'?

    1. Because AI tools automatically save your prompts forever
    2. Because the skill of crafting specific, focused questions applies to any subject or future coursework
    3. Because teachers require students to reuse old prompts
    4. Because you can copy and paste the exact same prompt for every assignment

15. A student learns they can apply the same questioning skills to history class, science class, and English class. What does this illustrate?

    1. That AI works better in some subjects than others
    2. That students should only use AI for one subject
    3. That all subjects have the same topics
    4. That the skill of asking good research questions transfers across subjects