I checked a 4th grade lesson board, entered that day’s objective into Mirror, and one minute later I had students reflecting and getting targeted feedback.

Jennifer Rodabaugh | Claxton Elementary

USE CASE

Reflection for students and teachers

Jennifer Rodabaugh

Instructional Coach

School/District:

Claxton Elementary/Anderson School District

Grade Level 4th

Before Claxton Elementary started using Mirror, teachers relied on writing assignments as the primary format for collecting student reflections. A few teachers were even bold enough to try video. But, with each of these methods, teachers struggled to identify students’ underlying needs and students experienced long delays between finishing the reflection and receiving feedback.

Claxton teachers needed a solution that helped them understand student learning gaps in more depth and helped cement authentic and timely feedback loops. After vetting several solutions, they chose Mirror.

AI that works for you

Jennifer Rodabaugh is an instructional coach at Claxton Elementary. She embraces her teachers using AI. One of her 4th grade teachers was using ChatGPT to develop written reflective prompts for students but it wasn’t the best fit. It was time-consuming and laborious to develop prompts that were grade-level appropriate and standards-based.While looking for other solutions, they signed up for Mirror’s demo program. Mirror demonstrated how AI would work for them to uncover gaps in student understanding with minimal lift or prep from teachers. With Mirror, Jennifer and the 4th grade teacher effectively generated reflective prompts in under 2 minutes, a task that previously took them 1.5 hours using ChatGPT. “One minute I entered a 4th grade class, I checked the board for that day’s objective, I entered that objective into Mirror and a minute later, I had students reflecting and getting feedback,” Jennifer recounted.

Faster feedback, never generic

The ability to generate reflective prompts quickly and easily was huge for Jennifer and her teachers, but that’s not all that Mirror’s AI can streamline.

Teachers lament grading written and video reflections. It is a time-consuming process, and teachers can’t immediately provide feedback and positive reinforcement to their students. It is in the moments right after an activity ends when students are most unsure of how they did or what they can do to improve in the future. 

Jennifer says, “With this technology, teachers can teach one group and have students reflect with Mirror in other small groups simultaneously, which enables students to get that immediate feedback that teachers typically don’t have time to give in the moment.” Mirror ensures that each feedback is personalized to each student, is relevant to the activity objective, and offers strategies to the student on how to improve their reflective skills.

Helping teachers uncover hidden learning gaps

But Mirror’s feedback loop doesn’t end when a student is finished reflecting at the device. Mirror’s AI technology works behind the scenes analyzing the responses and assessing various academic and social-emotional insights, such as mindset, sentiment, and understanding of the objective. Then Mirror’s analysis is posted directly to the teacher’s dashboard within 1 minute. Mirror uncovers hidden learning gaps which led Claxton teachers to realize that students were struggling with concepts they thought students understood. Jennifer says Mirror has been a “game-changer” for Claxton teachers and their students and they’ve only had it for one month. 

Try Mirror, commitment-free, with your students

Do you struggle to deliver timely feedback to students and feel like you’re always one step behind in understanding what they need to be successful? Spend more time building relationships with students and less time in red ink. Try Mirror with students in your class for free today!

The post Immediate feedback for every student, after every lesson appeared first on Swivl.

Relationships among educators and with students are foundational to the positive culture you create in your school community. As we shared in our recent blog, Why Video Coaching is Important This Fall, “teachers who have a strong, trusting relationship with their coach or mentor can use that relationship as a model of what to build with each student they teach.”  When educators participate in video-based coaching it is imperative that the tools they use facilitate respect, trust, and instructive communication to help sustain strong relationships.

We already know video is the ideal medium for observations because the most actionable feedback is gained from gathering and examining evidence of a teacher’s practice in a real classroom setting. Unlike in-person observations, videos portray authentic classroom environments where both teacher and students can act naturally, unencumbered by a visitor. When videos depict authentic classroom experiences, feedback becomes more specific and leads to greater growth outcomes too. Feedback tools like our Time-Stamped Annotation also make it easy for educators to set goals, track their progress, and communicate about what was observed in class. 

This is why Swivl is making feedback a priority with our Teams product release today, with Sessions.

Sessions make for better feedback

Feedback without clarity results in confusion. Classroom observations should have clear intentions. In our newest feature, Sessions, we’ve made it so you set your Intention upfront. As with many meaningful activities associated with delivering feedback, the first step is to define your “look-fors” not only for yourself but for your feedback partners. Important questions to ask yourself when setting an Intention for your video:

• What do you hope to accomplish in this video? 
• Does the evidence you will record allow you an opportunity to achieve your Intention? If not, before you proceed it might be helpful to go back and record another short segment of the instruction that allows you to explore the context of your Intention. 
• Where do you want your viewers to focus so they know how to reflect, question, and comment throughout your video?

Example: “In this math lesson, I would like to analyze which students struggle when I ask them to describe the method they chose to arrive at their answer.”

To continue your Session make sure to provide feedback, in the form of Time-Stamped Annotation on the video. This is the real “meat” so be clear with your response. The more time you take to reflect on what evidence you choose to address, the more evidence there will be for others  to respond to and reflect on. This is also a great time to highlight your “glows” and identify your “grows” with Web Bookmarking. Start comments with Prompts for guidance, and utilize Rubrics that tie into your organization’s coaching or self-reflection frameworks. When combined, these tools pave the way for structured, meaningful feedback on every observable teaching practice exhibited throughout the video.

When you are finished with Time-Stamped Annotations, it is time to consider the entire observation, summarize your experience, and define next steps.

Specifically: 

• Did you meet the Intention you set? 
• If not, what will you do differently next time? 
• What are your next steps from here?
• How will you use what you learned in this video to impact other areas of your instruction going forward? 

Example: “I learned that a majority of students in my green group struggled with describing the methodology they chose to develop the answer to the problems. In my next video, I’ll work on some new strategies to help them break down those building blocks of problem-solving and utilize scaffolded questioning to help them answer my targeted question around methodology.”

We have left ample room for you to develop a meaningful Summary response so take your time when using this space to conclude your actions in this Session.

Watch this 30-second video on Sessions to see just how easy it really is.

We hope that these improvements will bring greater purpose for your experience inside Teams so you can focus on the heart of the observation process: Clear and prescriptive feedback based on video evidence.

The post We’ve Made Actionable Feedback Central to the Teams Platform appeared first on Swivl.