Exploring the relationship between novice programmer confusion and achievement

Authors:
Diane Marie C. Lee;Ma. Mercedes T. Rodrigo;Ryan S. J. D. Baker;Jessica O. Sugay;Andrei Coronel
Affiliations:
Department of Information Systems and Computer Science, Ateneo de Manila University, Quezon City, Philippines;Department of Information Systems and Computer Science, Ateneo de Manila University, Quezon City, Philippines;Department of Social Science and Policy Studies, Worcester Polytechnic Institute, Worcester MA;Department of Information Systems and Computer Science, Ateneo de Manila University, Quezon City, Philippines;Department of Information Systems and Computer Science, Ateneo de Manila University, Quezon City, Philippines
Venue:
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Year:
2011

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Abstract

Using a discovery-with-models approach, we study the relationships between novice Java programmers' experiences of confusion and their achievement, as measured through their midterm examination scores. Two coders manually labeled samples of student compilation logs with whether they represent a student who was confused. From the labeled data, we built a model that we used to label the entire data set. We then analysed the relationship between patterns of confusion and non-confusion over time, and students' midterm scores. We found that, in accordance with prior findings, prolonged confusion is associated with poorer student achievement. However, confusion which is resolved is associated with statistically significantly better midterm performance than never being confused at all.