Publication | Open Access
37 Million Compilations
254
Citations
13
References
2015
Year
Unknown Venue
MusicEngineeringEducationSoftware EngineeringStudent OutcomeSoftware AnalysisIntelligent Tutoring SystemAutomated AssessmentStatisticsLearning AnalyticsComputer ScienceMashup (Music)Higher EducationIndividual InstitutionsCompilation EventsError AnalysisMillion CompilationsSoftware TestingStudent Errors
Previous investigations of student errors have typically focused on samples of hundreds of students at individual institutions. This work uses a year's worth of compilation events from over 250,000 students all over the world, taken from the large Blackbox data set. We analyze the frequency, time-to-fix, and spread of errors among users, showing how these factors inter-relate, in addition to their development over the course of the year. These results can inform the design of courses, textbooks and also tools to target the most frequent (or hardest to fix) errors.
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