In this DASI online session, a panel of experienced teachers will give their comments and then we will open up the discussion to include those attending.
Cohosts: Bob Andrews (Virginia Commonwealth U.) & Kellie Keeling (University of Denver)
Panel: Paul Brooks (Virginia Commonwealth University), Bob McQuaid (Pepperdine University) &
Bob Stine (Wharton School)
We begin addressing the question with the answer provided by ChatGPT.
As an AI language model, I can provide some insights on how ChatGPT could potentially affect data analysis instruction. Here are a few possibilities:
1. Increased availability of learning resources: With the help of AI-powered language models like ChatGPT, there could be an increase in the availability of learning resources for data analysis. Students and professionals may have access to more diverse and interactive materials, such as chatbots, tutorials, and interactive exercises, to help them learn the concepts and practice their skills.
2. Improved personalization: ChatGPT and other AI language models could be used to provide more personalized learning experiences to students. These models could analyze a student's past performance, identify their strengths and weaknesses, and tailor the instruction to meet their specific needs.
Overall, ChatGPT and other AI language models have the potential to greatly impact data analysis instruction, and it will be interesting to see how educators incorporate these tools into their teaching strategies in the coming years.
This event is FREE to all. Registration is required. The zoom link will be provided with registration confirmation.
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