Exploring the Impact of Voluntary Practice and Procrastination in an Introductory Programming Course

Author:

Zhang Jiayi1,Cunningham Taylor1,Iyer Rashmi1,Baker Ryan1,Fouh Eric1

Affiliation:

1. University of Pennsylvania, Philadelphia, PA, USA

Funder

National Science Foundation

Publisher

ACM

Reference13 articles.

1. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

2. Examining the role of self-regulated learning on introductory programming performance

3. The Relationship Between Voluntary Practice of Short Programming Exercises and Exam Performance

4. Study Habits, Exam Performance, and Confidence

5. Katrina Falkner , Rebecca Vivian , and Nickolas J.G. Falkner . 2014. Identifying Computer Science Self-Regulated Learning Strategies . In Proceedings of the 2014 Conference on Innovation & Technology in Computer Science Education ( Uppsala, Sweden) (ITiCSE '14). Association for Computing Machinery, New York, NY, USA, 291--296. https://doi.org/10.1145/2591708.2591715 Katrina Falkner, Rebecca Vivian, and Nickolas J.G. Falkner. 2014. Identifying Computer Science Self-Regulated Learning Strategies. In Proceedings of the 2014 Conference on Innovation & Technology in Computer Science Education (Uppsala, Sweden) (ITiCSE '14). Association for Computing Machinery, New York, NY, USA, 291--296. https://doi.org/10.1145/2591708.2591715

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