The Grok-Produced Summary Framework for Good Practices for AI with Students is an educational framework synthesized from webinar responses on creating conditions for effective and responsible AI use in education. Generated by the AI system Grok and presented by Steve Hargadon, this framework addresses both opportunities and challenges of integrating artificial intelligence tools in educational settings.

Framework Structure

The framework is organized around three foundational pillars: promoting positive outcomes, preventing negative outcomes, and fostering responsible AI use. This structure emerged from synthesizing participant responses about creating optimal conditions for AI implementation in educational contexts.

Promoting Positive Outcomes

The first pillar focuses on leveraging AI to enhance engagement, personalize learning, and prepare students for future skills through several key approaches.

Increase Engagement involves using AI to create interactive quizzes, games, or creative projects such as presentations, videos, and songs that align with students' interests. The framework recommends encouraging students to compare AI outputs from different platforms like ChatGPT versus Gemini to foster critical analysis and discussion. Students are encouraged to co-create AI-powered activities and share their AI tool usage, promoting ownership and excitement while matching AI tasks to real-world applications like composing resumes or pursuing interest-driven research.

Enable Personalized Learning emphasizes using AI to tailor content to students' reading levels, languages, or learning needs through generating summaries, practice quizzes, or explanations. Students are encouraged to refine AI prompts to customize outputs, fostering prompt engineering skills. The framework positions AI as a personal tutor for iterative feedback on writing, math, or other subjects, allowing students to revise and learn at their own pace while offering flexible activity options and accommodations for diverse learners.

Support Skill Preparation involves teaching students to use AI for step-by-step processes in areas like math problem-solving and research strategies to build foundational skills. The framework emphasizes designing tasks that develop communication, collaboration, creativity, and digital literacy through AI use, including preparing students for standardized tests like the SAT and creating enrichment activities to address skill gaps.

Provide 24/7 Learning Support integrates AI chatbots or tools into learning management systems for instant access to explanations or feedback. Students are encouraged to use AI to clarify concepts, summarize notes, or identify knowledge gaps at any time, with guides provided for responsible AI use across devices to ensure accessibility at home and school.

Foster Agentic Learning involves students in setting learning goals, co-developing success criteria, and choosing how to demonstrate understanding. The framework encourages independent problem-solving by having students design prompts, propose projects, or map out learning goals while creating a classroom culture that embraces risk-taking, feedback, and reflection on AI use.

Enhance Generative Teaching uses AI to generate lesson ideas, differentiated activities, or formative data analysis to meet diverse student needs, including creating tiered tasks or language supports based on students' levels or accommodations such as IEPs/504 plans.

Preventing Negative Outcomes

The second pillar addresses concerns about cheating, loss of critical thinking, information literacy, and authentic learning through proactive strategies.

Mitigate Cheating and Uphold Academic Integrity involves defining clear guidelines for when and how AI can be used in assignments, emphasizing transparency through declaring AI use and submitting prompts. The framework focuses assessments on the learning process through reflections, drafts, and oral defenses rather than just final products, while redesigning assignments to prioritize open-ended discussions, in-class writing, or tasks AI cannot easily complete.

Preserve Critical Thinking, Reasoning, and Writing Skills embeds critical thinking across the curriculum by having students analyze, critique, or edit AI-generated outputs for errors or biases. Students are required to explain their reasoning, processes, or prompt strategies while incorporating tactile, in-class, or non-AI activities like handwritten essays and group discussions to reinforce foundational skills.

Strengthen Information Literacy teaches students to verify AI outputs by cross-checking with reputable sources such as academic journals and library databases. The framework provides structured lessons on evaluating credibility, bias, and authorship of AI-generated content, including discussions on hallucinations and algorithmic bias, with librarians integrated to teach students to prompt AI for sources and analyze their validity.

Ensure Authentic Learning designs assignments requiring personal opinions, creativity, or real-world application through experiential projects and hands-on tasks. Assignments are tested to ensure AI cannot easily complete them, focusing on processes like planning, drafts, or reflections while encouraging collaborative learning and peer reviews.

Fostering Responsible AI Use

The third pillar creates a culture of transparency, reflection, and ethical AI integration.

Promote AI Literacy and Transparency educates students on how AI works, its strengths, weaknesses, and potential biases through real-time demonstrations. Educators model responsible AI use by openly acknowledging when and how they use AI, such as drafting syllabi or generating ideas, while encouraging students to document their AI use through submitting prompts and comparing AI outputs to their work.

Encourage Reflective and Ethical Practices integrates reflection activities where students assess how AI helped or hindered their learning and how they could improve their prompts. The framework discusses ethical issues, academic integrity policies, and societal implications of AI use, including dependency and privacy concerns, while fostering a growth mindset that normalizes mistakes and emphasizes learning through struggle.

Balance AI and Human Interaction limits over-reliance on AI by incorporating in-class, collaborative, or tactile activities that prioritize human connection. AI is positioned as a thinking partner or mentor model, encouraging students to paraphrase, critique, or build on AI outputs rather than copying them, while maintaining personal engagement through discussions, feedback, and conversations.

Implementation Considerations

The framework includes specific implementation guidelines: starting small with low-stakes AI tasks like brainstorming and summarizing to build confidence; iterating and reflecting by regularly assessing AI's impact on learning outcomes; ensuring equity through universal access to AI tools and training; and modeling lifelong learning where teachers experiment with AI and demonstrate adaptability to new tools. The framework emphasizes balancing excitement about AI's potential with proactive strategies to address risks, ensuring students use AI responsibly while developing essential skills for the future.