One of the ways I'm incorporating #AI in the feedback loop for students in my writing class is to use it as a guide for talking points when they go to the language lab for support. I told students I would be using Brisk Teaching for round 1 (maintaining transparency about when I'm using AI and hopefully leading by example), where it creates feedback points based on my rubric and inserts them in a table at the top of their essay. Using Google Docs, I converted the bullet points to checkboxes (though it would be nice if Brisk did this part automatically), so students can go through point by point and show me that they're at the very least looking at the feedback before the next round of writing. Next, I asked students to highlight one point from each category and use the comment feature to speak to it. This could be any variation of responses: 🔦 Spotlighting an issue that they know they need to work on and how they're dealing with it in this paper 🙅♀️ Disagreeing with the AI and explaining why they don't want to make the change it's suggesting ❓ Asking for clarification on how to respond to a point ➕ Etc. Next, when they go to the lab to get help, these highlights and the changes they made will form the foundation for the talking points when they work with the professor. One of the biggest problems when students go to a lab for support is always training them to be prepared instead of going in and saying "please check my paper" rather than empowered with a specific learning goal in mind. So the goal here is to have them go in with 5 already acted upon (or at least considered) points to discuss in order to make a more productive lab time. The screenshot is a sample that I sent to my students to understand the concept. I'm sure there will be some fine-tuning, but already many of them are interacting more with their early drafts and even coming to me to make sure that they're building good responses to talk to the professor in the lab about. I'll need more exploration, but to me this is a good way to take advantage of the strengths of AI, continue to challenge students to think critically about what it generates, and wrap it all in a human-centered approach focused on student learning rather than just using a shiny toy for the sake of it. #AIinESL #ArtificialIntelligence #TESOL #TESL #TESOL #ELT #LanguageLearning #Composition #StudentSuccess
How to Make Feedback Actionable for Students
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Summary
Making feedback actionable for students means providing specific, timely, and constructive input that guides them toward meaningful improvements in their work and learning process.
- Be clear and specific: Avoid vague comments by addressing particular behaviors or areas of work, and use examples to illustrate points.
- Focus on next steps: Always include actionable suggestions or strategies students can implement immediately to improve their work.
- Encourage engagement: Involve students by asking for their perspective on the feedback and prompting them to reflect on how they will use it to grow.
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My go-to method for giving feedback to my students (it's NOT a "compliment sandwich" :) 👉 It's COIN! C - Context O - Observation I - Impact N - Next steps For example: "In our mock interview (C), I noticed that you kept circling back and repeating information when describing your design process (O). This repetition could potentially give the impression that you're unsure of your own methods (I). Let's work on creating a clear, linear narrative for each project and practice it until you can confidently deliver it within 2-3 minutes (N)." Why it works ↴ - It's clear and direct. No sugar-coating! - It focuses on specific actions and their effects. - It provides actionable next steps. - It avoids confusion (the feedback receiver knows exactly what to work on) What's your go-to feedback method? Share your thoughts below! 👇 #ux #uxcareers #UXLeadership #FeedbackTips
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If your feedback isn't changing behavior, you're not giving feedback—you're just complaining. After 25 years of coaching leaders through difficult conversations, I've learned that most feedback fails because it focuses on making the giver feel better rather than making the receiver better. Why most feedback doesn't work: ↳ It's delivered months after the fact ↳ It attacks personality instead of addressing behavior ↳ It assumes the person knows what to do differently ↳ It's given when emotions are high ↳ It lacks specific examples or clear direction The feedback framework that actually changes behavior: TIMING: Soon, not eventually. Give feedback within 48 hours when possible Don't save it all for annual reviews. Address issues while they're still relevant. INTENT: Lead with purpose and use statements like - "I'm sharing this because I want to see you succeed" or "This feedback comes from a place of support." Make your positive intent explicit. STRUCTURE: Use the SBI Model. ↳Situation: When and where it happened ↳Behavior: What you observed (facts, not interpretations) ↳Impact: The effect on results, relationships, or culture COLLABORATION: Solve together by using statements such as - ↳"What's your perspective on this?" ↳"What would help you succeed in this area?" ↳"How can I better support you moving forward?" Great feedback is a gift that keeps giving. When people trust your feedback, they seek it out. When they implement it successfully, they become advocates for your leadership. Your feedback skills significantly impact your leadership effectiveness. Coaching can help; let's chat. | Joshua Miller What's the best feedback tip/advice, and what made it effective? #executivecoaching #communication #leadership #performance