Teacher Education
A short video clip explaining how the AI Assistant in GoReact streamlines coaching, enhances data collection, and supports accreditation efforts
Allison Smith explains how AI-powered feedback in GoReact transforms teacher preparation. By automating common feedback, reducing bias, and providing data-driven insights, AI helps programs improve instruction, streamline accreditation, and give supervisors more time for deeper coaching. Watch the full webinar.
Dr. Allison Smith:
So when I’m thinking about AI use with GoReact, I’m thinking through the lens of program design accreditation. I need data, I need ease of use for all of the supervisors. I need ease of use for all of the students. And so these are the the big things I’m pulling out to just share with you in how the use of AI has really transformed how we coach our candidates automated feedback. So AI analyzes the candidates videos, provides instant feedback, so that’s really great. Their performance, it identifies strengths, areas of improvement. It also reduces the human bias. It’s a great third point and provides a great starting point for discussions. Sometimes candidates don’t know where to start, they don’t know where to analyze. And so it’s a really nice place to start with that data-driven insights. So we want a great experience, but we also, as programs need data programs can collect and analyze the data from the AI functions.
They can identify trends, patterns. So you can really analyze and then inform your program improvement. So you can pull that, those data talk with faculty on, Hey, you made this change in the coursework, here’s the outcome. Or I’m looking at these data, and there’s a lot of times when the AI is pointing out where pacing is off or some aspect of the teaching is off, how can we improve our programs to really address this issue that’s coming out in the field? We have data. It’s not just me saying it or someone or a group of people saying, guess what? I’m seeing this. We actually have data on this. The other part is accreditation. As someone who does reports for accreditation, I’m in meetings for accreditation, we use aquip, and then we have our state CTC accreditation. And so these data are really nice to show that you are actually looking at what’s happening in the field. The next is time saving. AI automates the feedback. So it frees up the supervisors, and I wouldn’t say just to give them free time, but then it allows time for deeper analysis so they’re not wasting their time on the next point, which is the common feedback responses. So if you’ve supported candidates, there’s just standard things that are happening often. And so let the AI handle that and let the supervisor dig deeper and look at something more critically.
