AI for Teacher Educators: Challenges & Opportunities

AI for Teacher Educators: Experiential Application

Join us for the last part of the AI for Teacher Educators workshop series.

When: Friday, March 21st, from 8:30 AM to 1:00 PM
Where: UTEP’s College of Education

Last time we focused on CoPilot features for designing presentations, analyzing data, and writing emails.

This time we will use additional tools to create lesson plans, create videos and other multimedia with minimal effort, find relevant trends and topics in large datasets, and track the effects of our prompts over time. Make sure you have your accounts ready to go on the following tools. All features used in this workshop are part of their free offerings.

Outline

Following up on our previous session, these are the topics for the last part. You will be able to follow along even if you have missed any of the previous sessions:
1. Recap of Copilot use-cases
3. Practical AI classroom applications
– Creating lesson plans
– Generating engaging visuals
– Techniques for validating AI accuracy
4. AI for research

Overview, pre-requisites, and resources

This workshop is a follow-up from the AI for Teacher Educators in November 2024.

When: Friday, February 28th, from 8:30 AM to 1:00 PM
Where: UTEP’s College of Education

How to prepare:
We will be using the following tools:
1. Co-Pilot (Excel and Power Point)
2. Kahn Academy
3. Canva
4. Voyant
5. Ngram
6. Artbreeder
7. ChatGPT

Many of these tools have trial or free versions. Their use may be restricted by your organization’s AI or IT policies. Accounts and access is not necessary for this workshop, but having a laptop and accounts already set will allow you to experiment and follow along with hands-on activities. You can also substitute these for tools of your preference that have similar capabilities. With the exception of Microsoft, we do not endorse any of these tools and are used for illustrative purposes and hands-on exercises, without using real datasets.

“By far the greatest danger of AI is that people conclude too early that they understand it.”

Eliezer Yudkowsky

Recap from our previous workshop

Agenda: We discussed understanding AI, generative AI, prompt training risks, specific use cases, examples, and responsible AI usage.
Understanding AI: We reviewed many cases where we had to identify if the technology was AI or not, such as speech recognition, image recognition, and recommendation systems.
Generative AI: Generative AI includes text, video, and image generation. We covered some generative AI prompt engineering examples.
AI Challenges: Bias, hallucinations, plagiarism, and copyright issues are key challenges. Questions about copyright ownership and liability for AI malfunctions were raised.

Outline

These workshops are heavily influenced by your feedback from previous sessions, and your pre-workshop surveys. Here are the key takeaways for this session:
1. Recap of AI tools, risks, and use-cases
2. Review of prompt structure
3. Practical AI classroom applications
– Creating presentations
– Grading insights
– Creating lesson plans
– Building upon AI emails
– Generating engaging visuals
4. Techniques for validating AI accuracy
5. AI for research and decision making
6. Fun and creative AI use cases

Additional files will be added soon.

Presentation