Presentation Type
Poster Presentation
Mentor/Supervising Professor Name
Alférez , Harvey
Abstract (Description of Research)
Generative AI’s ability to solve coding problems has raised concerns about Computer Science (CS) education. However, recent research has shown promise in its ability to tutor students. Specifically, The literature does not tend to adequately preserve desirable difficulties, such as active recall or higher-order thinking. And when they do, they use self-reporting instead of experiments to measure the effectiveness of the AI tutor.
Our research will address this significant research gap by using a no-code AI tutor to preserve desirable difficulties, and a randomized control experiment followed by a post-test to obtain strong evidence that AI can be an effective tutor.
The Effects of AI Tutors on Beginner Programmers*
Generative AI’s ability to solve coding problems has raised concerns about Computer Science (CS) education. However, recent research has shown promise in its ability to tutor students. Specifically, The literature does not tend to adequately preserve desirable difficulties, such as active recall or higher-order thinking. And when they do, they use self-reporting instead of experiments to measure the effectiveness of the AI tutor.
Our research will address this significant research gap by using a no-code AI tutor to preserve desirable difficulties, and a randomized control experiment followed by a post-test to obtain strong evidence that AI can be an effective tutor.
