@techreport{TR-IC-23-01,
   number = {IC-23-01},
   author = {Eryck Silva and Ricardo Caceffo and Rodolfo Azevedo},
   title  =  {Misconceptions  in  Correct Code: rating the severity of
                   undesirable  programming  behaviors  in  Python CS1
                   courses},
   month = {January},
   year = {2023},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 149 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       Misconceptions   in   Correct   Code   (MC3)   are  undesirable 
       programming  behaviors,  in  terms  of the learning objectives,
       that  students  have in code that generates the correct output.
       We  manually  analyzed 2441 students' submissions from a Python
       CS1 course, which were corrected by an automatic grading system
       (autograder),  and  identified 45 MC3, divided in 8 categories.
       To  assess  this  initial  list  of  the MC3, we administered a
       survey to CS1 instructors. The survey was composed of an online
       questionnaire  and  a semi-structured interview. The survey had
       two  purposes: to classify the MC3 by severity, identifying are
       prone  to  further investigation; and to shed light on possible
       educational   interventions   to  address  the  MC3,  based  on 
       different  CS1  teaching  contexts.  In  total,  32 respondents
       answered  the  online  questionnaire  and 9 participated in the
       interviews.  We  identified  15  MC3 as the most severe and the
       instructors provided feedback on automatic detection and Active
       Learning  techniques  to  address these undesirable programming
       behaviors in CS1 classes.
  }
}