📝 Sign Up for Our Sept. 6th
“Train Your Students to Use AI”
Webinar

In our recent polls, our subscribers — maybe even you! — made their preferences clear for our next webinar.

We listened!

Our next Zoom webinar will focus on training students to use AI and it will be on Friday, September 6th from 12pm to 1:30pm Eastern Daylight Time.

A detailed webinar schedule is included below.

The price is $150.

✨Premium subscribers get 5% off, which they can apply via the link immediately below (hidden if not logged in).

But there is a catch…

Actually, there are three:

1. If there are not 20 pre-orders by Sunday, September 1st, all pre-orders will be refunded in full and the webinar will be cancelled.

2. All purchases — pre-order or not — come with a 30-day money back guarantee. If you are not completely satisfied, I will refund you in full.

3. Registrants get the full video recording and AI-generated summary, as well as four other high-value items (including a free ✨Premium piece and a set of LLM prompts to help with AI integration — see below)

4. I am capping the webinar at 50 attendees.

Reserve your spot now!

I will be the host, as was the case for our last webinar on custom GPTs.

Webinar Schedule

Pre-Webinar Activity: Reflection on AI’s Role

Objective: Participants will develop a preliminary assessment of the role of AI in their specific fields and courses.

Activity Description: Prior to the webinar, attendees will:

1. Reflect on the extent to which AI can augment or enhance core tasks, processes, and outputs in their field.

2. Consider the primary tasks that could be completed entirely by AI, how AI might enhance existing tasks, and new possibilities AI could open up.

3. Identify fundamental skills and knowledge essential to their discipline, regardless of AI capabilities.

Resources: I will provide a structured step-by-step handout to structure this reflection. I will send it on Tuesday, September 3.

Part 1: Assessing and Adjusting Course Objectives
(20 minutes)

Objective: Attendees will gain a clear idea of how to adjust their course objectives to incorporate AI effectively.

Content:

1. Introduction to the concept of "backwards course design" in the context of AI integration.

2. Provision of a framework for categorizing existing objectives based on AI impact:

   • Objectives significantly enhanced by AI

   • Objectives moderately impacted by AI

   • Objectives that should remain independent of AI

3. Process for adjusting existing objectives and adding new AI-specific objectives:

   • Theoretical understanding of AI/LLMs

   • Practical proficiency with AI/LLMs

   • Ethical considerations in AI use

4. Case studies demonstrating objective adjustment across different disciplines.

Part 2: Designing AI-Enhanced Activities and Assignments (20 minutes)

Objective: Attendees will be equipped with strategies to create engaging, AI-integrated learning experiences, as well as methods to avoid AI misuse to further learning objectives.

Content:

1. In-class implementations:

   • AI tool demonstrations and workshops

   • Group activities leveraging AI

   • Individual hands-on exercises with AI tools

2. Out-of-class assignments:

   • Designing AI-inclusive and AI-exclusive assignments

   • Strategies to prevent AI misuse while encouraging appropriate AI integration

3. Examples of activities and assignments across various disciplines.

Part 3: Practical AI Training Techniques
(20 minutes)

Objective: Attendees will be prepared to effectively train students in the nuts and bolts of AI tool use, with a focus on LLMs.

Content:

1. Fundamentals of effective prompting, including:

   • Role assignment

   • Step-by-step instructions

   • Exemplars

   • Formatting inputs

2. Advanced techniques:

   • File uploading, context prioritization, and RAG (Retrieval-Augmented Generation)

   • Iterative prompting and refining outputs

3. Strategies for teaching critical evaluation of AI outputs:

   • Recognizing hallucinations and biases

   • Fact-checking and verification methods

   • Metacognitive reflections

Part 4: Integrating AI Ethics into Your Course
(15 minutes)

Objective: Attendees will develop a better understanding of how to incorporate AI ethics into their curriculum.

Content:

1. Overview of key ethical considerations in AI use.

2. Strategies for weaving ethics throughout course content.

3. Sample learning objectives and activities focused on AI ethics.

4. Discussion of balancing AI integration with preserving core disciplinary competencies.

Part 5: Q&A Session
(15 minutes)

Open forum for participants to ask questions and share insights.

Post-Webinar Resources

Immediately after the session, I will provide attendees with:

1. The full video recording and AI-generated summary

2. A full copy of my ✨Premium Guide on How to Train Students to Use AI

3. A set of LLM prompts to help with AI integration

4. A flowchart/roadmap for designing AI-integrated activities and assignments across disciplines

5. A checklist for evaluating the ethical implications of AI use in course activities