Monitoring Novice Programmer Affect and Behaviors to Identify Learning Bottlenecks
We analyze student affect data in order to locate bottlenecks in an introductory programming course. By tracking students’ affective states and behaviors over five laboratory sessions distributed over nine weeks, we find that students exhibit a significantly greater amount of confusion when expected...
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Main Authors: | , , , |
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Format: | text |
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Archīum Ateneo
2009
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Online Access: | https://archium.ateneo.edu/discs-faculty-pubs/123 https://pdfs.semanticscholar.org/249a/0f0394c4e703b9e905606b2e3f0a7cc74a34.pdf |
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Institution: | Ateneo De Manila University |