16 min

Episode 2: Student perspective on Generative AI usage (17 minutes‪)‬ Teaching Matters Edinburgh

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The second episode of Generative AI podcast series features a conversation between Irene Xi, an MSc student (Sociology and Global change) and Dr Vasileios Galanos, Teaching fellow at the Science, Technology and Innovations department, The University of Edinburgh. Irene brings in a unique student perspective to the current conversations surrounding AI Technology usage.

Read the accompanying blog post


Timestamps:
(2:00) - How does it feel to be an MSc student at the University of Edinburgh in terms of coursework?

(5:00) - In terms of marking scale, could you tell us what does a 55%, a 65% 75% mean to you? How does these numbers resonate with you?

(7:20) - Why would students be tempted to use AI software to help with their essays?

(10:55) - Have you tried these software at all, what did you see? Are they good, have they got any limitations?

(13:45) - How do you think MSc students would use these AI technologies in 5 years from now?

Transcript of this episode

The second episode of Generative AI podcast series features a conversation between Irene Xi, an MSc student (Sociology and Global change) and Dr Vasileios Galanos, Teaching fellow at the Science, Technology and Innovations department, The University of Edinburgh. Irene brings in a unique student perspective to the current conversations surrounding AI Technology usage.

Read the accompanying blog post


Timestamps:
(2:00) - How does it feel to be an MSc student at the University of Edinburgh in terms of coursework?

(5:00) - In terms of marking scale, could you tell us what does a 55%, a 65% 75% mean to you? How does these numbers resonate with you?

(7:20) - Why would students be tempted to use AI software to help with their essays?

(10:55) - Have you tried these software at all, what did you see? Are they good, have they got any limitations?

(13:45) - How do you think MSc students would use these AI technologies in 5 years from now?

Transcript of this episode

16 min

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