Using Data to Inform Computing Education Research and Practice-Reference-Cited by-同舟云学术

Using Data to Inform Computing Education Research and Practice

Published:2020-02-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 51st ACM Technical Symposium on Computer Science Education
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Author:

Price Thomas¹,Franke Baker²,Grover Shuchi³,McGill Monica M.⁴

Affiliation:

1. North Carolina State University, Raleigh, NC, USA

2. Code.org, Chicago, IL, USA

3. Looking Glass Ventures & Stanford University, Palo Alto, CA, USA

4. Knox College & csedresearch.org, Galesburg, IL, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3328778.3366967

Reference13 articles.

1. Blackbox

2. A framework for using hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming environments;Grover Shuchi;ACM Transactions on Computing Education (TOCE),2017

3. A Systematic Approach for Analyzing Students’ Computational Modeling Processes in C2STEM

4. Educational Data Mining and Learning Analytics in Programming

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