@techreport{TR-IC-18-11,
   number = {IC-18-11},
   author = {Ricardo Caceffo and Guilherme Gama and Jacques Wainer and
                   Islene Garcia and Rodolfo Azevedo},
   title  = {{A Questionnaire of Perceptual Learning Modules (PLM) for
                   Introductory Programming (CS1) Courses in Python}},
   month = {September},
   year = {2018},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 45 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       The  educational  environment  usually emphasizes learning as a
       declarative  and  procedural  process. However, there are other
       crucial   components  that  can  be  considered,  such  as  the 
       Perceptual  Learning  (PL), related to the ways the information
       is  perceived  and extracted. A way to model the PL approach is
       through   Perceptual   Learning   Modules   (PLMs),  a  set  of 
       multiple-choice  questions  in  which  each available choice is
       mapped  to a learning pattern. Currently, there are initiatives
       related  to  PLM  practices  in  mathematics,  flight learning,
       medicine  and language educational areas. This Technical Report
       is  a  reference  document,  not  peer-reviewed,  that  aims to
       document  a set of 64 PLM multiple-choice questions designed to
       Introductory  Programming  (CS1)  courses  in  Python language,
       therefore   allowing   our  work  to  be  replicated  by  other 
       researchers.  The  actual  use  of  the  PLM  questions and the
       analysis  and  discussion of its impact on a CS1 course will be
       addressed in further works.
  }
}