Why Code When AI Exists? Learning with AI
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Why Code When AI Exists? Learning with AI
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Narrated by:
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Written by:
(00:00:55) Introduction + Professor Backgrounds
(00:02:38) The New York Times AI accusation case: students being accused of using AI
(00:09:58) Is plagiarism involving AI happening among Harris students? Why should students use ChatGPT carefully?
(00:14:38) Why are some companies becoming more hesitant to hire recent graduates?
(00:20:38) How should students learn coding in the AI era?
(00:24:48) How professors use AI for coding: building a rotating casserole example
(00:30:48) How Data and Programming courses are changing with the rise of AI
(00:32:58) Why are Applied Dataset Problems so long, and why are they divided into Parts A and B?
(00:35:38) Why are homework deadlines on Sundays and Tuesdays?
(00:38:28) Professors share the painful process of using ChatGPT to create Applied Dataset Problems
(00:41:48) Personal stories: Will AI affect students' job opportunities?
(00:46:18) What actually matters in the job market?
(00:49:18) Professors’ biggest hopes for the future of AI
Welcome to the first episode of our AI Series! Today, we’re excited to be joined by Professors Levy and Clapp, who teach Data and Programming, for a conversation about AI and learning process. In this episode, we discuss how AI is being used in classrooms and education, how students can use AI effectively without losing core problem-solving skills, questions Harris students have been asking, and several recent AI-related cases, along with insights from our guest speakers.
What would you like to hear in our next episode? Are there any topics or professors you’d love for us to feature? Feel free to reach out to us and maybe drop a few compliments for our two professors to add to the carousel!
Key terms:
LLMs:
LLMs (Large Language Models) are AI systems trained on massive amounts of text to understand and generate human-like language. Tools like ChatGPT are examples of LLMs.
Data and Programming:
Data and Programming is one of the three required courses in the data science specialization at Harris School of Public Policy. The specialization is designed to prepare students for the rapidly growing field of data analytics after graduation.
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