Adding Artificial Intelligence as a topic in the STEM Technology Course

As we begin a new semester of Math 371, Technology for STEM Educators, I want to add information about how teachers can use AI in their classrooms. I know that many use it to create lesson plans, but I also want to include other ways that you can incorporate technology. Have any of you used AI with your preservice math teachers?  If so, how did you use it? I am looking for ideas and would love your help.

So, what did I do? I put the following prompt into Chat GPT (free version), “List some ways that AI can help preservice mathematics teachers.” And here is the response from ChatGPT:

AI can play a significant role in supporting preservice mathematics teachers in various ways. Here are some examples:

1. Personalized Learning: AI can analyze individual learning styles and preferences to tailor instructional materials, ensuring that preservice teachers receive personalized support and resources.
2. Adaptive Assessments: AI-driven assessments can identify specific areas of strength and weakness in preservice teachers' mathematical knowledge, allowing for targeted interventions and personalized professional development plans.
3. Virtual Classrooms: Simulated virtual classrooms powered by AI can provide preservice teachers with a platform to practice teaching strategies, classroom management, and lesson planning in a risk-free environment.
4. Feedback and Reflection: AI tools can offer real-time feedback on preservice teachers' teaching practices, helping them reflect on their performance and make improvements. This can include feedback on instructional techniques, communication skills, and classroom engagement.
5. Content Creation Assistance: AI can assist preservice teachers in creating engaging and effective instructional materials. This includes generating interactive lesson plans, creating multimedia content, and recommending relevant resources.
6. Data Analysis: AI can analyze student performance data to identify patterns and trends. Preservice teachers can use this information to adapt their teaching methods, address common misconceptions, and provide targeted support to students.
7. Professional Development Recommendations: AI algorithms can suggest personalized professional development opportunities based on the specific needs and goals of preservice teachers. This ensures that they receive training in areas that directly impact their teaching effectiveness.
8. Collaborative Learning Platforms: AI-powered platforms can facilitate collaborative learning among preservice teachers. These platforms can recommend study groups, learning communities, and forums for sharing experiences and insights.
9. Language Support: For preservice teachers who are not native speakers of the language of instruction, AI can assist in language development, providing pronunciation feedback, language comprehension exercises, and language support resources.
10. Accessibility Tools: AI can help in creating accessible materials for diverse learners, including those with special educational needs. This ensures that preservice teachers are equipped to address the needs of all students in their future classrooms.

These AI-driven tools can complement traditional teacher training methods, offering preservice mathematics teachers a more interactive, personalized, and adaptive learning experience.

There you have it--use AI to get ideas for how to use AI.