How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices’ Use of Data Structures

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Cheng, Ruijia; Dasgupta, Sayamindu; Hill, Benjamin Mako, 2022, "How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices’ Use of Data Structures", https://doi.org/10.7910/DVN/2TRZ9N, Harvard Dataverse, V1
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Code and data used for the paper "How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices’ Use of Data Structures"
Subject Computer and Information Science
Related Publication Ruijia Cheng, Sayamindu Dasgupta, and Benjamin Mako Hill. 2022. How Interest-Driven Content Creation Shapes Opportunities for Informal Learn- ing in Scratch: A Case Study on Novices’ Use of Data Structures. In CHI Conference on Human Factors in Computing Systems (CHI ’22), April 29- May 5, 2022, New Orleans, LA, USA. ACM, New York, NY, USA, 16 pages.
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