Procrastination vs. Active Delay: How Students Prepare to Code in Introductory Programming
Author:
Affiliation:
1. Tampere University, Tampere, Finland
2. University Pennsylvania, Philadelphia, PA, USA
3. University of Pennsylvania, Philadelphia, PA, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626252.3630907
Reference25 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. Heeryung Choi, Philip H Winne, Christopher Brooks, Warren Li, and Kerby Shedden. 2023. Logs or Self-Reports? Misalignment Between Behavioral Trace Data and Surveys When Modeling Learner Achievement Goal Orientation. In LAK23: 13th International Learning Analytics and Knowledge Conference. 11--21.
4. Why Not Procrastinate? Development and Validation of a New Active Procrastination Scale
5. Rethinking Procrastination: Positive Effects of "Active" Procrastination Behavior on Attitudes and Performance
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