Examining the role of self-regulated learning on introductory programming performanceSusan Bergin, Ronan Reilly, Desmond Traynor
Publikationsdatum:
Zu finden in: ICER 2005 (Seite 81 bis 86), 2005
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Zusammenfassungen
The purpose of this study was to investigate the relationship between self-regulated learning (SRL) and introductory programming performance. Participants were undergraduate students enrolled in an introductory computer programming module at a third-level (post-high school) institution. The instrument used in this study was designed to assess the motivations and learning strategies (cognitive, metacognitive and resource management strategies) of college students. The data gathered was analyzed to determine if a relationship existed between self-regulation and programming performance and investigate if SRL could be used to predict performance on the module. The study found that students who perform well in programming use more metacognitive and resource management strategies than lower performing students. In addition, students who have high levels of intrinsic motivation and task value perform better in programming and use more metacognitive and resource management strategies than students with low levels of intrinsic motivation and task value. Finally, a regression model based on cognitive, metacognitive and resource management strategies was able to account for 45% of the variance in programming performance results.
Von Susan Bergin, Ronan Reilly, Desmond Traynor im Konferenz-Band ICER 2005 im Text Examining the role of self-regulated learning on introductory programming performance (2005) Dieses Konferenz-Paper erwähnt ...
Begriffe KB IB clear | Lernenlearning , Motivationmotivation , Programmierenprogramming |
Zitationsgraph
2 Erwähnungen
- ICER 2016 - Proceedings of the 2016 ACM Conference on International Computing Education Research, ICER 2016, Melbourne, VIC, Australia, September 8-12, 2016 (Judy Sheard, Josh Tenenberg, Donald Chinn, Brian Dorn) (2016)
- With a Little Help From My Friends - An Empirical Study of the Interplay of Students' Social Activities, Programming Activities, and Course Success (Adam S. Carter, Christopher D. Hundhausen) (2016)
- Second Handbook of Information Technology in Primary and Secondary Education (Joke Voogt, Gerald Knezek, Rhonda Christensen, Kwok-Wing Lai) (2018)
- 6. Computer Science and Computational Thinking in the Curriculum - Research and Practice (Aman Yadav, Phil Sands, Jon Good, Alex Lishinki)
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