Diving Into Machine Learning | Using AI To Enhance Education & Student Success
Finding Genius Podcast
Richard Jacobs
4.4 • 1K Ratings
🗓️ 8 November 2023
⏱️ 35 minutes
🧾️ Download transcript
Summary
In this episode, we discuss machine learning research and its many benefits for students. As technology progresses, this system can be used to develop data-driven teaching strategies that may redefine the future of education…
Want to find out more about machine learning and the role it plays in education and student success? Click play now!
Join us now to explore:
- What machine learning is, and the predictions that it can produce.
- How machine learning data can show which students are struggling.
- The factors that cause students to fail, struggle, and succeed.
- How this technology can create optimal solutions.
Available on Apple Podcasts: apple.co/2Os0myK
Transcript
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| 0:00.0 | Forget frequently asked questions common sense common knowledge or Google how about advice from a real genius |
| 0:06.6 | 95% of people in any profession are good enough to be qualified and licensed 5% go above beyond. They become very good at what they do, but only 0.1% are real Jesus. |
| 0:18.0 | Richard Jacobs has made it his life's mission to find them for you. He hunts down and interviews geniuses in every field, |
| 0:25.0 | sleep science, cancer, stem cells, ketogenic diets, and more. Here come the geniuses. |
| 0:30.0 | This is the Finding Genius Podcast. |
| 0:33.0 | That is Richard Jacobs. |
| 0:35.0 | Hello, this is Richard Jacobs with the Finding Genius Podcast, now part of the Finding Genius Foundation. |
| 0:43.4 | We're going to talk about the machine learning version of discipleship. |
| 0:47.4 | So this should a very unusual interesting call. |
| 0:50.0 | I think it falls under the category of what's called imitation learning but we'll get into those details shortly so thank you for coming |
| 0:56.0 | Thanks so much for having me. Yeah tell me a bit about your background and you know how you got into the position you're in right now and then we'll talk about your current research. |
| 1:04.0 | Yes absolutely so I just wanted to be a computer science major. |
| 1:08.0 | In the beginning it was a financial decision for me. |
| 1:11.0 | You know we grew up under communism and you know I was very aware that you know we |
| 1:15.4 | didn't have a lot growing up and not because my parents didn't provide but because just |
| 1:20.0 | you couldn't buy things. So I always you know wanted to be you know, |
| 1:23.4 | wanted to be, you know, not worry about financial, |
| 1:26.4 | the financial, my financial situation, so computer science seems like a good fit for me. |
| 1:30.5 | I always like math, so I chose the major in computer science, like the major engineering |
| 1:36.3 | school, it was part of an engineering institute, and I did my undergraduate there, so I applied to go to graduate school and I got accepted and so I did my |
| 1:46.8 | my PhD there my focus was machine learning and then I met my husband and then we got married and that was in 2015. |
| 1:55.9 | And then we had some kids and then at some point |
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