📝 Sign Up for Our Dec. 6th
“How to Use AI to Improve & Accelerate Student Feedback” Webinar

Webinar Description and Sign-Up Link

If you want to...

  • ethically leverage AI to provide better feedback faster

  • maintain privacy while accelerating your grading workflow

  • learn concrete strategies for keeping "humans in the loop"

  • walk away with practical "starter prompts" for your specific needs

Then the upcoming AutomatED Zoom webinar — "How to Use AI to Improve & Accelerate Student Feedback" — is exactly what you need.

The last webinar, which occurred on October 4th and covered how to use LLMs like ChatGPT as a professor, was a resounding success.

100% of responding participants gave it an A ("Excellent!") afterwards, with attendees particularly praising the depth of my prompting explanations and practical approach to implementation.

Here’s some of the feedback I received:

“Graham opened my eyes to how create better prompts utilizing his approach.”

“A well organized approach to an intimidating topic. I especially appreciated the depths of the prompting explanations. They brought a new level of understanding to the challenges of 'talking' to A.I.”

Attendees at my Oct. 4th webinar

Now, as the semester draws to a close and the grading/feedback crush looms, I'm offering a focused session on one of the most pressing challenges in education: providing high-quality, timely feedback to students.

The 90-minute session will include practical demonstrations of using ChatGPT, Claude, and custom GPTs for feedback generation.

I'll share my tested prompts for using LLMs as mentors, student simulators, and teaching assistants, while maintaining academic integrity and student privacy.

The webinar will occur on Zoom on Friday, December 6th from 12pm to 1:30pm Eastern Standard Time.

To register, log in and click the poll option “Yes” at the following link (that’s all it takes, although note that it will send you back to this page after clicking):

Important Notes:

  1. Registrants receive the complete video recording, AI-generated summary, slides, and additional high-value resources (detailed below).

  2. Attendance is capped at 75 participants to ensure meaningful interaction.

I will be the host, as was the case for our last three webinars on how to use LLMs like ChatGPT as a professor, on how to train your students to use AI, and on custom GPTs.

At my recent presentations…

- 95% of attendees reported that I communicated information clearly and were organized

- 90% reported that I kept them engaged

- 100% reported that I answered their questions

- 81% reported that they can apply information I provided in their work/research

- despite 76% having minimal knowledge of tech and AI issues

“Really interesting perspectives beyond the typical plagiarism conversation!”

“I appreciated that the presenter shared some actual examples of ways he used AI.”

“So many ideas to think about. Thanks for a great and inspiring session.”

Anonymous feedback from a recent presentation of Graham’s (more information on my presentations and webinars here)

Dr. Graham Clay
webinar host & AutomatED co-founder

Let's transform learning together.

Feel free to connect on LinkedIN!

Webinar Schedule

Note: See below for some high-value post-webinar resources that I will provide each attendee, including the full recording, exclusive prompts, and free access to Premium Guides and Tutorials.

Pre-Webinar Activity:
Identifying Your Feedback Use Cases

Objective: Participants will identify specific feedback scenarios from their teaching that they want to improve and accelerate through AI assistance.

Activity Description: Prior to the webinar, attendees will:

  • Reflect on their current feedback practices and pain points

  • Identify 1-2 assignments or specific types of assignments where they want to provide better/faster feedback

  • Consider their comfort level with AI integration in assessment, with a focus on prompting obstacles

Part 1: AI Feedback Fundamentals
(30 minutes)

Objective: Establish a foundation for prompting LLMs to ethically enhance feedback.

Content:

  • Overview of framework for reflecting on LLM capabilities in feedback generation

  • Best practices for maintaining human oversight

  • Spectrum of ethical considerations and positions

  • Privacy considerations and methods for maintaining student data security

Part 2: Practical Implementation Strategies
(30 minutes)

Objective: Equip participants with concrete tools and approaches for AI-assisted feedback.

Content:

  • Live demonstration of feedback generation techniques

  • Display of collection of "starter prompts" for different feedback scenarios

  • Strategies for customizing prompts to your discipline

  • Explanation of how to use custom GPTs to further streamline feedback workflows

Part 3: Ethics Deep-Dive and Q&A
(30 minutes)

Objective: Engage in nuanced discussion of ethical considerations and address participant questions.

Content:

  • Exploration of ethical considerations with the preceding in hand

  • Discussion of how educators can handle policies and guidelines, including strategies for transparent communication with students

  • Open Q&A session

Post-Webinar Resources:

  1. Complete webinar recording, AI-generated summary, and presentation slides

  2. Three free ✨Premium pieces:

  3. Several feedback-specific prompts for common assignment types