Writing Reusable Code Feedback at Scale with Mixed-Initiative Program Synthesis-Reference-Cited by-同舟云学术

Writing Reusable Code Feedback at Scale with Mixed-Initiative Program Synthesis

Published:2017-04-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale
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Author:

Head Andrew¹,Glassman Elena¹,Soares Gustavo²,Suzuki Ryo³,Figueredo Lucas⁴,D'Antoni Loris⁵,Hartmann Björn¹

Affiliation:

1. University of California, Berkeley, Berkeley, CA, USA

2. Federal University of Campina Grande & University of California, Berkeley, Campina Grande, Brazil

3. University of Colorado Boulder, Boulder, CO, USA

4. Federal University of Campina Grande, Campina Grande, Brazil

5. University of Wisconsin-Madison, Madison, WI, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3051457.3051467

Reference23 articles.

1. Susan A. Ambrose Michael W. Bridges Michele DiPietro Marsha C. Lovett and Marie K. Norman. 2010. How learning works: Seven research-based principles for smart teaching. John Wiley & Sons. Susan A. Ambrose Michael W. Bridges Michele DiPietro Marsha C. Lovett and Marie K. Norman. 2010. How learning works: Seven research-based principles for smart teaching. John Wiley & Sons.

2. How Can Automatic Feedback Help Students Construct Automata?

3. Emergent, crowd-scale programming practice in the IDE

4. Foobaz

5. Learnersourcing Personalized Hints

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