# data[].attributes.body
💡Challenge:

Add one example of a student AI question that fits this level.

⭐ Bonus:

Comment on someone else’s example post. Does it fit the right Bloom’s level?

✨Give each AI question stem a score from 1–5.

5 = I’d steal this for my class tomorrow!
1 = Hmm... not quite there yet.

# data[].attributes.body
💡Challenge:

Add one example of a student AI question that fits this level.

⭐ Bonus:

Comment on someone else’s example post. Does it fit the right Bloom’s level?

✨Give each AI question stem a score from 1–5.

5 = I’d steal this for my class tomorrow!
1 = Hmm… not quite there yet.

# data[].attributes.headline
"Please explain these assignment instructions to me"

# data[].attributes.subject
"Please explain these assignment instructions to me"

# data[].attributes.headline
“List the key concepts related to [topic].”

# data[].attributes.subject
“List the key concepts related to [topic].”

# data[].attributes.headline
“Summarize what you know about [topic] in three sentences.”

# data[].attributes.subject
“Summarize what you know about [topic] in three sentences.”

# data[].attributes.headline
“Give examples of how this term shows up in everyday life.”

# data[].attributes.subject
“Give examples of how this term shows up in everyday life.”

# data[].attributes.headline
“Explain how [concept A] and [concept B] are connected.”

# data[].attributes.subject
“Explain how [concept A] and [concept B] are connected.”

# data[].attributes.headline
“Paraphrase this passage to show you understand the idea.”

# data[].attributes.subject
“Paraphrase this passage to show you understand the idea.”

# data[].attributes.headline
“What is the main idea behind [this reading]?”

# data[].attributes.subject
“What is the main idea behind [this reading]?”

# data[].attributes.headline
“Create an analogy to help someone else understand [this process].”

# data[].attributes.subject
“Create an analogy to help someone else understand [this process].”

# data[].attributes.headline
“Why does [this concept] matter in the context of [your field]?”

# data[].attributes.subject
“Why does [this concept] matter in the context of [your field]?”

# data[].attributes.headline
“Show me a real-world example of [this concept] in action.”

# data[].attributes.subject
“Show me a real-world example of [this concept] in action.”

# data[].attributes.headline
“How would you use [this idea] to solve [this problem]?”

# data[].attributes.subject
“How would you use [this idea] to solve [this problem]?”

# data[].attributes.headline
“Design a simple plan or process using [this theory].”

# data[].attributes.subject
“Design a simple plan or process using [this theory].”

# data[].attributes.headline
“What would happen if you applied [this principle] in [this scenario]?”

# data[].attributes.subject
“What would happen if you applied [this principle] in [this scenario]?”

# data[].attributes.headline
“Write a short dialogue where someone uses [this concept] correctly.”

# data[].attributes.subject
“Write a short dialogue where someone uses [this concept] correctly.”

# data[].attributes.headline
“Compare two approaches to [this issue] and describe their strengths.”

# data[].attributes.subject
“Compare two approaches to [this issue] and describe their strengths.”

# data[].attributes.headline
“Break down the argument in [this text]. Where does it succeed or fail?”

# data[].attributes.subject
“Break down the argument in [this text]. Where does it succeed or fail?”

# data[].attributes.headline
“Identify patterns, assumptions, or biases in [this example].”

# data[].attributes.subject
“Identify patterns, assumptions, or biases in [this example].”

# data[].attributes.headline
“Group the information about [this topic] into categories that make sense.”

# data[].attributes.subject
“Group the information about [this topic] into categories that make sense.”

# data[].attributes.headline
“What are the underlying causes of [this problem]?”

# data[].attributes.subject
“What are the underlying causes of [this problem]?”

# data[].attributes.headline
“Assess the credibility of [this source] and explain your reasoning.”

# data[].attributes.subject
“Assess the credibility of [this source] and explain your reasoning.”

# data[].attributes.headline
“Which of these two solutions is stronger? Why?”

# data[].attributes.subject
“Which of these two solutions is stronger? Why?”

# data[].attributes.headline
“What criteria would you use to decide whether [this approach] works?”

# data[].attributes.subject
“What criteria would you use to decide whether [this approach] works?”

# data[].attributes.headline
“What ethical concerns arise when using AI in [this situation]?”

# data[].attributes.subject
“What ethical concerns arise when using AI in [this situation]?”

# data[].attributes.headline
“Give feedback on this response — what’s effective and what could be improved?”

# data[].attributes.subject
“Give feedback on this response — what’s effective and what could be improved?”

# data[].attributes.headline
“Brainstorm three new ways to apply [this idea].”

# data[].attributes.subject
“Brainstorm three new ways to apply [this idea].”

# data[].attributes.headline
“Generate potential research questions about [this topic].”

# data[].attributes.subject
“Generate potential research questions about [this topic].”

# data[].attributes.headline
“Outline a creative project that demonstrates your understanding of [this concept].”

# data[].attributes.subject
“Outline a creative project that demonstrates your understanding of [this concept].”

# data[].attributes.headline
“Draft an introduction paragraph for an essay on [this theme].”

# data[].attributes.subject
“Draft an introduction paragraph for an essay on [this theme].”

# data[].attributes.headline
“Design an activity or lesson that teaches [this concept] to beginners.”

# data[].attributes.subject
“Design an activity or lesson that teaches [this concept] to beginners.”

# data[].attributes.body
How do you feel about students using AI? Comment using emojis or one sentence.

Examples:

🤖 “Curious but cautious.”

🧠 “I’m experimenting!”

😬 “Still figuring it out.”

# data[].attributes.body
💡Challenge:

Add one example of a student AI question that fits this level.

⭐ Bonus:

Comment on someone else’s example post. Does it fit the right Bloom’s level?

✨Give each AI question stem a score from 1–5.

5 = I’d steal this for my class tomorrow!
1 = Hmm… not quite there yet.

# data[].attributes.body
💡Challenge:

Add one example of a student AI question that fits this level.

⭐ Bonus:

Comment on someone else’s example post. Does it fit the right Bloom’s level?

✨Give each AI question stem a score from 1–5.

5 = I’d steal this for my class tomorrow!
1 = Hmm… not quite there yet.

# data[].attributes.body
💡Challenge:

Add one example of a student AI question that fits this level.

⭐ Bonus:

Comment on someone else’s example post. Does it fit the right Bloom’s level?

✨Give each AI question stem a score from 1–5.

5 = I’d steal this for my class tomorrow!
1 = Hmm… not quite there yet.

# data[].attributes.body
💡Challenge:

Add one example of a student AI question that fits this level.

⭐ Bonus:

Comment on someone else’s example post. Does it fit the right Bloom’s level?

✨Give each AI question stem a score from 1–5.

5 = I’d steal this for my class tomorrow!
1 = Hmm… not quite there yet.

# data[].attributes.headline
💭 Reflection: How could you use these AI question stems with your students?

# data[].attributes.subject
💭 Reflection: How could you use these AI question stems with your students?

# data[].attributes.body
Add one takeaway or small step you’ll try next week.

How might you teach students to ask better questions of AI?