Learnable Programming: Blocks and Beyond

May 26, 2017 ยท Declared Dead ยท ๐Ÿ› Communications of the ACM

๐Ÿ‘ป CAUSE OF DEATH: Ghosted
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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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