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Study Reveals Student Perceptions of AI Coding Assistants in Programming Education

By

victorbuilds

6mo ago· 2 min readenInsight

Summary

This exploratory study examines student perceptions of AI coding assistants in an introductory programming course. Researchers investigated how 20 novice programmers used AI tools for a programming task and then extended the solution without assistance. Findings show students perceived AI as helpful for understanding code concepts and boosting confidence during initial development, but struggled when working unaided, revealing potential overreliance and gaps in foundational knowledge transfer. The study highlights the need for new pedagogical approaches that effectively integrate AI while enhancing core programming skills.

Key quotes

· 4 pulled
The arrival of AI coding assistants in educational settings presents a paradigm shift, introducing a 'new kid in the classroom' for both students and instructors.
Our findings reveal that students perceived AI tools as helpful for grasping code concepts and boosting their confidence during the initial development phase.
However, a noticeable difficulty emerged when students were asked to work unaided, pointing to potential overreliance and gaps in foundational knowledge transfer.
These insights highlight a critical need for new pedagogical approaches that integrate AI effectively while effectively enhancing core programming skills, rather than impersonating them.
Snippet from the RSS feed
The arrival of AI coding assistants in educational settings presents a paradigm shift, introducing a "new kid in the classroom" for both students and instructors. Thus, understanding the perceptions of these key actors about this new dynamic is critical.

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