Daniel Tracz

Part 1 Teaching “with” or “about” AI

Part 1

  • October 25, 2024 at 2:18 PM
  • Visible to public
  • Explain how machine bots work.  How might unintended bias impact what machine bots may produce as “results?”
 A Machine bot is trained by being “fed” data and it is used to identify or categorize data based on the patterns it detects. This does not have to be simply images. Words/text can be used as well. Now where is this data coming from? The Internet. Who put this data there? Humans. That is where the potential for bias comes in. The data might be biased or perhaps the bot was fed data is a biased way. For example maybe most sports information was selected from Dallas. This could lead to bias in terms of questions like “Who is the best Running Back in NFL history?” Perhaps there was more data about Emmitt Smith given where the data was pulled from.  
  • How can tools like Khanmigo help teachers in the classroom?  What are your thoughts about using AI as a teacher assistant or tutor for your classroom?
 It was interesting to say the least. I think the idea of generating a progress report for a student that is struggling (translating it to another language cuts out Google Translate and is a one stop shop) is a great plus to save some time, much like a tutor would. I think the refresher option is a nice study aid. You can assess yourself or you can also have a conversation by talking about certain aspects of a play or maybe a body systems function in science. The Rubric creator was what MOST intrigued me. I have used AI to create rubrics before and I have liked it and used them….but, I had not included or thought to include standards in the request itself, definitely more specific!!