In this episode I unpack Kazemitabaar et al.’s (2023) publication titled “Studying the effect of AI code generators on supporting novice learners in introductory programming,” which found that students who had access to AI code generators while learning how to code out performed students who did not have access, even when engaging in manual coding exercises.

Click here for this episode’s show notes.

How to Get Started with Computer Science Education

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00:00 Intro

01:14 Abstract

02:18 My single sentence summary

03:11 AI as distributed cognition

04:31 Research questions

05:15 Related work and the AI-assisted learning environment

05:44 Design of this study

06:56 Results: Training phase

11:00 Results: Evaluation phase

11:55 Results: Qualitative feedback

13:34 Discussion

15:01 AI and the use-modify-create framework

17:41 What are some implications of this study?

18:27 How do the findings for this study compare with studies on students using Stack Overflow?

19:38 Outro