Coarse-grained detection of student frustration in an introductory programming course

We attempt to automatically detect student frustration, at a coarse-grained level, using measures distilled from student behavior within a learning environment for introductory programming. We find that each student's average level of frustration across five lab exercises can be detected based...

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Bibliographic Details
Main Authors: Rodrigo, Ma. Mercedes T, Baker, Ryan S
Format: text
Published: Archīum Ateneo 2009
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Online Access:https://archium.ateneo.edu/discs-faculty-pubs/95
https://dl.acm.org/doi/abs/10.1145/1584322.1584332
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Institution: Ateneo De Manila University

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