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DSI Meet Up - AI Literacy @ UT February '25 edition

Join the DSI Meet Up on Monday 10 February on AI Literacy: already the third session in this series! - for UT employees only

During this meetup, two speakers will share their experiences on how their newly created introductory AI courses worked out in practice. Of course, it is one thing to design a course, but then comes the reality: how do students respond? DSI is grateful that Breno and Mahdi shared their insights with us!

dr. M. Farnaghi (Mahdi)
Assistant Professor

In this talk, Mahdi Farnaghi will talk about how the Scientific Geo-computing course at ITC has been transformed to reflect the rapid advancements and widespread adoption of GenAI. Two years ago, ITC colleagues recognized that continuing to teach programming without addressing GenAI was no longer feasible. So, after some discussions, the course was adjusted to integrate GenAI into its core.

Key changes included the introduction of a lecture titled "Programming Tools: From Dumb to Intelligent," delivered during the first week. This lecture provides an accessible overview of how large language models (LLMs) are developed, their potential as programming assistants, and guidelines for their responsible use—both in the course and in students’ future professional lives. After this lecture, students actively engage with GenAI tools meaningfully, including participating in a programming hackathon and two group assignments. The teaching team has been evaluating the impact of these changes through questionnaires and self-reflection reports, seeking to understand how embracing GenAI affects students' learning experiences.

This approach may resonate with colleagues thinking of creating a general-purpose course or workshop for students while accounting for the effect of GenAI usage or teaching the students how to (responsibly) use GenAI in their course.

dr. B. Alves Beirigo (Breno)
Assistant Professor of Stochastic Operations Research

The rise of Generative AI (GenAI) has disrupted traditional programming instruction, prompting both challenges and opportunities for educators. In this talk, I will explore how the teaching of programming is evolving in response to GenAI, drawing on insights from the latest research and real-world experiences. I will share key findings from recent papers on how educators envision programming education in the future and reflect on my experience redesigning courses both before and after the onset of AI tools like ChatGPT. Specifically, I will discuss changes made to introductory programming courses for BSc and Pre-master Industrial Engineering and Management students, as well as MSc courses that heavily depend on programming to complete assignments. This talk will approach questions such as:

  • How will programming itself evolve in the coming decades?
  • What is the optimal balance between analyzing, critiquing, and creating code when assessing students?
  • How to create GenAI-proof assignments?
  • What is the role of human TAs—do we even need them?
DSI Meet Up - AI Literacy @ UT February '25 edition
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