
The first programming language for most children worldwide today is a blocks-based language like Scratch or Snap. GP is a blocks-based programming language designed to be a follow-on. GP aims to be a general purpose language, like Python or Ruby, in which students can create more complex programs or create standalone applications. GP includes a mechanism for creating modules for others to re-use and a wide variety of primitives, including tools for manipulating CVS and JSON data, using serial port and network connections, and manipulating pixels in pictures or samples in sounds. The language could be used in computer science classes beyond introductory computer science. GP explores the questions: "How far can we go with a blocks-based programming language? Do we have to move students to a textual programming language to explore advanced computational ideas and applications?" In this laptop required workshop, participants will try out GP. They will explore sample projects and create their own projects that push on advanced features of GP such as using multiple classes and instances, creating sets of blocks that can be shared as extension modules, using cloud data, or manipulating images and sounds. GP will be released (free and open source) in Summer 2017, so our goal is to find early adopters who are interested in trying GP and developing examples for others.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
