November 29, 2025
Training Wheels vs Brain Cells
Student Perceptions of AI Coding Assistants in Learning
Students ride AI training wheels, then wobble—should schools ditch bots or teach smarter
TLDR: A study found AI code helpers make students confident early, but many struggle without them. Comments split: some say dump AI, others say the study is too small, and many want smarter use—like AI as a true pair programmer—so schools teach core skills while using the tools wisely.
A small classroom study crowned AI coding helpers the new kid in class: they boosted confidence and helped students get started, but when the bots were taken away, many wobbled. That’s the setup. The drama? The comments section turned into a cafeteria food fight. One camp shouted ditch bots entirely, with bgwalter declaring the world worked fine before 2023 and we shouldn’t outsource thinking. The skeptics piled on the study itself—dcre rolled their eyes at N=20 and said the findings were exactly what anyone would expect. Meanwhile, the craft-first crowd chimed in: taurath argued we confuse memorizing syntax with real learning, pushing for bigger-picture skills like readability and good design. awongh reminded everyone that classroom assignments aren’t the same as “real” programming, hinting the results may not generalize beyond university problem sets. And then came the plot twist: borski pitched an AI pair programmer that actually swaps roles—sometimes it drives, sometimes you do—earning nods from folks who want AI to teach, not just type. Meme-wise, readers joked about “training wheels vs brain cells,” “AI doing my homework, but not my brain,” and “Stack Overflow 2.0 with vibes.” The verdict? No consensus, lots of spice: ban it, fix it, or make it teach better.
Key Points
- •Exploratory study conducted in an introductory programming course on student perceptions of AI coding assistants.
- •Two-part exam design: initial programming task with AI support, followed by an unaided extension of the solution.
- •Data collected from 20 students using Likert-scale and open-ended responses.
- •Students reported AI tools helped them grasp code concepts and boosted confidence during initial development.
- •Students faced noticeable difficulty when working without AI, suggesting overreliance and gaps in foundational knowledge transfer; authors call for pedagogical approaches that integrate AI while strengthening core skills.