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Article . 2017
License: arXiv Non-Exclusive Distribution
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Learnable programming

blocks and beyond
Authors: David Bau; Jeff Gray 0001; Caitlin Kelleher; Josh Sheldon; Franklyn A. Turbak;

Learnable programming

Abstract

New blocks frameworks open doors to greater experimentation for novices and professionals alike.

Keywords

FOS: Computer and information sciences, Computer Science - Programming Languages, D.1.7, D.2.6, Computer Science - Human-Computer Interaction, K.3.2; H.5.2; D.1.7; D.2.6, K.3.2, Human-Computer Interaction (cs.HC), H.5.2, Software Engineering (cs.SE), Computer Science - Computers and Society, Computer Science - Software Engineering, Computers and Society (cs.CY), Programming Languages (cs.PL)

  • BIP!
    Impact byBIP!
    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).
    284
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
Powered by OpenAIRE graph
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
284
Top 1%
Top 1%
Top 0.1%
Green
bronze