Formative Feedback with AI: Opportunities & Risks

Surveys show that outside of in-class instruction, feedback and planning are the most time intensive tasks in a teacher's work week. Many educators spend at least 1 hour per day giving feedback.

Learning science tells us that timely feedback is key. However, with growing class sizes and limited teacher time, it can take days for a student to receive feedback on an assignment. And feedback quality suffers as well since it can be hard to give the same level of feedback to all students on every assignment every time.

How can AI help solve these problems?

* AI can quickly generate formative feedback to help teachers be their best.
* With prompting, teachers can tailor AI feedback to rubrics, growth areas, and next steps. It can pose questions that stimulate higher-order thinking.
* Equity - more immediate, abundant feedback ensures all students have opportunities for growth through feedback.
* Teacher-in-the-loop AI feedback allows tailored, high-quality feedback based on learning goals and students' needs.
* But AI should only provide formative feedback, not scores or summative evaluation.
In this hands-on webinar, we discussed these strengths and weakness, explored some practical strategies for using AI to help with feedback, and walked through live prompts and examples to show how tools like ChatGPT or Brisk can help with the process.

Speakers
Amanda Bickerstaff
Amanda is the Founder and CEO of AI for Education. A former high school science teacher and EdTech executive with over 20 years of experience in the education sector, she has a deep understanding of the challenges and opportunities that AI can offer. She is a frequent consultant, speaker, and writer on the topic of AI in education, leading workshops and professional learning across both K12 and Higher Ed. Amanda is committed to helping schools and teachers maximize their potential through the ethical and equitable adoption of AI.

Alex Muscat
Alex is the Head of Data and AI at Brisk Teaching. He made his start in EdTech on the teacher support team for the Summit Learning Program in 2016, serving 5,000+ teachers and 80,000+ students. Since then, he's maintained his passion for helping teachers learn how to effectively use technology in the classroom. A literature geek at heart, the advent of Large Language Models presented a perfect opportunity to combine his expertise in language, data, and education.
T o learn more about AI for Education and our webinar series: AI Launchpad for Educators, visit us at aiforeducation.io.