DASI Brown Bag Zoom Discussion

Join this DSI DASI session with Co-hosts: Bob Andrews (Virginia Commonwealth University) & Kellie Keeling (University of Denver)

Our Panel of Invited Speakers are:  Paul Brooks (Virginia Commonwealth University), Bob McQuaid (Pepperdine University) & Bob Stine (Wharton School)

The session will begin by addressing the topic 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.
3. Greater automation: As AI continues to develop, we may see more automation in the data analysis field. This could mean that some tasks traditionally done by humans, such as data cleaning and preprocessing, could be done by AI algorithms. As a result, data analysis instruction may need to incorporate training on how to use and work with these tools.
4. More emphasis on critical thinking: While AI can certainly automate some tasks, it’s important to note that it’s not a replacement for human intelligence. As such, data analysis instruction may place a greater emphasis on critical thinking skills, as students will need to be able to interpret and analyze the outputs of AI algorithms, as well as identify potential biases or errors.

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.

Join the conversation! The session is FREE however registration is required. The link to join the meeting will be found in the registration email confirmation.