Learnable Programming: Blocks and Beyond
May 26, 2017 ยท Declared Dead ยท ๐ Communications of the ACM
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
David Bau, Jeff Gray, Caitlin Kelleher, Josh Sheldon, Franklyn Turbak
arXiv ID
1705.09413
Category
cs.PL: Programming Languages
Cross-listed
cs.CY,
cs.HC,
cs.SE
Citations
298
Venue
Communications of the ACM
Last Checked
1 month ago
Abstract
Blocks-based programming has become the lingua franca for introductory coding. Studies have found that experience with blocks-based programming can help beginners learn more traditional text-based languages. We explore how blocks environments improve learnability for novices by 1) favoring recognition over recall, 2) reducing cognitive load, and 3) preventing errors. Increased usability of blocks programming has led to widespread adoption within introductory programming contexts across a range of ages. Ongoing work explores further reducing barriers to programming, supporting novice programmers in expanding their programming skills, and transitioning to textual programming. New blocks frameworks are making it easier to access a variety of APIs through blocks environments, opening the doors to a greater diversity of programming domains and supporting greater experimentation for novices and professionals alike.
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