How to Talk to Students About AI  ## Metadata - Author: [[George Lucas Educational Foundation]] - Full Title: How to Talk to Students About AI - Category: #articles - Document Note: --- tags: - #education - #aiineducation - #classroommanagement Author: George Lucas Educational Foundation Source: Edutopia Reference: https://www.edutopia.org/video/how-to-talk-to-students-about-ai/ date created: 2025-09-06 00:00 --- # Title: How to Talk to Students About AI ## Table of Contents: - [🎯 Overview](#-overview) - [📝 Summary](#-summary) - [📖 Main Content](#-main-content) - [🗒️ Notes](#-notes) - [📖 References](#-references) - [🗣️ Paraphrase](#-paraphrase) - [📰 Newsletter](#-newsletter) - [✅ Action Items](#-action-items) - [🧪 Hypotheses](#-hypotheses) - [📊 Methodology](#-methodology) - [❓ Questions](#-questions) - [🔮 Future Research](#-future-research) - [💡 Implications](#-implications) - [🧠 Learning Styles Assessment](#-learning-styles-assessment) - [📊 Accessibility Assessment](#-accessibility-assessment) - [🌍 DEIB Assessment](#-deib-assessment) - [✅ Logical validity](#-logical-validity) - [🔍 DARVO Analysis](#-darvo-analysis) - [🔍 SEO Evaluation](#-seo-evaluation) - [🎯 Conclusion](#-conclusion) ### References: - January 2025 AI in Education Survey from Twinkl - Center for Democracy & Technology report “Out of Step: Students, Teachers in Stride with EdTech Threats While Parents Are Left Behind” (Elizabeth Laird, Maddy Dwyer, Kristin Woelfel) - Rachelle Dené Poth: “Tips for Using AI—and for Talking to Students About It” (Edutopia) - Jen Roberts: “Proactively Limiting the Use of AI in the Classroom”; “When Students Use AI in Ways They Shouldn’t” - Paige Tutt: “5 Essential Tech Talks to Have With Students” (Edutopia) ## 📝 Summary: The piece argues that every classroom needs an explicit conversation about generative AI—both to gauge what students know and to set clear boundaries. It recommends starting the school year with short discussion prompts that surface prior knowledge and concerns, modeling healthy skepticism by exploring AI “fails,” and showing productive use cases like AI as a tutor that asks probing questions. For teachers permitting AI, it highlights a practical “stoplight” policy framework to clarify when AI is green (encouraged), yellow (limited), or red (not allowed). It also points educators to recent surveys and articles to ground classroom policy in research and best practices. ## 📖 Main Content: The article presents a pragmatic approach to AI in K–12 classrooms: - Start with baseline checks. Early in the year, invite students to define AI in their own words or articulate concerns (“What worries you about AI in education?”). This elicits prior knowledge, misconceptions, and values. - Teach critical use, not blind adoption or bans. Use real “AI fails” (e.g., a flawed summer reading list from a major newspaper) to cultivate skepticism and verification habits. Counterbalance with intentional, high-value uses like AI as a tutoring partner that asks questions rather than handing out answers. - Set norms with a clear framework. Adopt a “stoplight system” (shared by Pennsylvania administrator Samuel Mormondo): green = permitted use cases and tools, yellow = conditional or cited use, red = prohibited contexts (e.g., assessments). This keeps expectations transparent for students and families. - Ground decisions in research and shared resources. Draw on current surveys, policy analyses, and practical how-tos to create aligned classroom practices and troubleshoot. ### 🗒️ Notes - Opening premise - It’s critical to talk to students about AI to assess understanding and set boundaries. - Frames AI as present-tense classroom reality—neither hype nor panic. - Eliciting prior knowledge - Younger students: “What is AI?” to surface basic concepts, experiences (assistants, chatbots). - Older students: “What worries you about AI in education?” to unpack integrity, bias, privacy, equity. - Benefits: diagnostic insight, student voice, community norms. - Teaching skepticism and literacy - Use public examples of AI failures (e.g., a widely shared flawed reading list) to illustrate hallucinations and trust-but-verify. - Encourage source checking, triangulation, and citing AI contributions when allowed. - Productive AI use - Position AI as a coach/tutor that asks probing questions, scaffolds thinking, and supports metacognition. - Avoid quick-answer dependency; emphasize process over product. - Policy clarity: Stoplight system (Samuel Mormondo) - Green: brainstorming, outlining, language-level revisions with attribution. - Yellow: limited assistance with explicit citation and teacher approval. - Red: exams, personal reflections, or tasks assessing individual mastery. - Communicate rationale and provide exemplars of acceptable use. - Further reading and evidence base - Survey data (Twinkl, 2025) for current sentiment and usage patterns. - CDT’s “Out of Step” for privacy, edtech threats, and stakeholder alignment. - Edutopia pieces by Rachelle Dené Poth, Jen Roberts, and Paige Tutt for implementation, troubleshooting, and broader digital citizenship. ## 📖 References: - January 2025 AI in Education Survey from Twinkl - Center for Democracy & Technology: “Out of Step: Students, Teachers in Stride with EdTech Threats While Parents Are Left Behind” — Elizabeth Laird, Maddy Dwyer, Kristin Woelfel - Rachelle Dené Poth (Edutopia): “Tips for Using AI—and for Talking to Students About It” - Jen Roberts: “Proactively Limiting the Use of AI in the Classroom”; “When Students Use AI in Ways They Shouldn’t” - Paige Tutt (Edutopia): “5 Essential Tech Talks to Have With Students” ## 🗣️ Paraphrase: - Original idea: “Teachers can get started by scoping out what students know early in the year… For younger students, ‘What is AI?’ … For older ones, ‘What worries you about AI in education?’” - Paraphrase: Early on, invite students to reveal their understanding. With younger learners, ask for a plain-language definition of AI; with older students, use prompts about their concerns to map perceptions and misconceptions. - Original idea: “It can also be useful to guide students through the promises—and pitfalls—of AI use… share the ways in which AI can be most useful—like when it functions as a tutor by asking probing questions…” - Paraphrase: Teach a balanced view: highlight notable misfires to build skepticism, while modeling how AI can serve as a questioning coach that deepens learning rather than a shortcut to answers. ## 📰 Newsletter: This week in the dev classroom: AI is here, and students have questions. We’re spotlighting a timely guide on how to talk about generative AI with learners—without the doom or the drumroll. Kick off the year by asking, “What is AI?” or “What worries you about AI in education?” You’ll surface prior knowledge fast and set the tone for ethical, curious exploration. We love the “stoplight” policy: Green for brainstorming and outlines (with attribution), Yellow for limited, cited help, and Red for assessments and personal reflections. Pair that with a demo of AI as a tutor that asks questions instead of handing out answers. Recent updates: The January 2025 Twinkl survey maps how classrooms are actually using AI, while CDT’s “Out of Step” report highlights gaps between students/teachers and parents on edtech risks. For practical tactics, see Rachelle Dené Poth’s classroom tips and Jen Roberts’s troubleshooting playbooks. Want a broader digital citizenship angle? Paige Tutt’s “5 Essential Tech Talks” has you covered. Plugins and tools: If you’re experimenting in WordPress, try TTS plugins to offer audio summaries of class posts, or workflow plugins that add an “AI usage disclosure” field to student submissions. Keep it transparent, keep it human. Links: - Twinkl’s January 2025 AI in Education Survey (target keywords: AI in education survey) - CDT’s “Out of Step” report (edtech privacy, stakeholder alignment) - Edutopia resources by Rachelle Dené Poth, Jen Roberts, Paige Tutt ## ✅ Action Items: Prompt to align article insights with your Developer Advocate/OSPO trajectory: - Purpose: Analyze each AI-in-education article for actionable alignment with open-source advocacy, contributor onboarding, and equitable community practices in WordPress. - Use this structure: 1) Educationa - Summary: Some are banning it, others embracing it—but every teacher should consider starting a classroom conversation about generative AI. - URL: https://www.edutopia.org/video/how-to-talk-to-students-about-ai/ As educators around the country grapple with the classroom implications of easily-accessible large-language models of generative AI, one thing is clear—it’s critical to talk to students about it, both to assess their usage and understanding, and to set clear boundaries. Teachers can get started by scoping out what students know early in the year. One quick way to level-set is to offer provocative AI-related writing or discussion prompts. For younger students, something as simple as “What *is* AI?” can yield a quick scan of their prior knowledge. For older ones, a more complex question like “What worries you about AI in education?” can help teachers understand the landscape of how their students are thinking about AI. It can also be useful to guide students through an understanding of the promises—and pitfalls—of AI use. Giving examples of AI fails, like [the *Chicago Sun-Times* summer reading list](https://www.npr.org/2025/05/20/nx-s1-5405022/fake-summer-reading-list-ai), can remind students to be skeptical. But it’s also valuable to share the ways in which AI can be most useful—like [when it functions as a tutor](https://edworkingpapers.com/ai24-1054) by asking probing questions of students instead of providing quick answers. For teachers who have decided to allow AI use, a framework like the [stoplight system](https://www.edutopia.org/article/creating-ai-usage-guidelines-students/), shared by Pennsylvania administrator Samuel Mormondo, can be useful to set parameters and keep teachers and students on the same page. To see the research cited in this video, read the [January 2025 AI in Education Survey](https://www.twinkl.com/blog/ai-in-education-survey-what-uk-and-us-educators-think-in-2025) from Twinkl, or check out the report from the [Center for Democracy & Technology](https://cdt.org/), “[Out of Step: Students, Teachers in Stride with EdTech Threats While Parents Are Left Behind](https://cdt.org/wp-content/uploads/2024/12/CDT-Out-of-Step-010225.pdf),” by Elizabeth Laird, Maddy Dwyer, and Kristin Woelfel. For more resources on managing AI in the classroom, start with Rachelle Dené Poth’s article for Edutopia, “[Tips for Using AI—and for Talking to Students About It](https://www.edutopia.org/article/ai-resources-teachers).” For troubleshooting suggestions, look up “[Proactively Limiting the Use of AI in the Classroom](https://www.edutopia.org/article/addressing-ai-use-proactively-classroom)” or “[When Students Use AI in Ways They Shouldn’t](https://www.edutopia.org/article/responding-student-ai-use),” by Jen Roberts. And Paige Tutt’s piece, “[5 Essential Tech Talks to Have With Students](https://www.edutopia.org/article/technology-topics-students-should-understand),” takes a broader view and is a great source for all kinds of technology tips., How to Talk to Students About AI, George Lucas Educational Foundation, 01k4frsbq2a73fw8gn0cmbreyr.