An exploration of STEM freshmen's attitudes, engagement and autonomous learning in introductory computer programming

Claudio Alvarez, Camila Fajardo, Federico Meza, Andrea Vasquez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Programming skills and computational thinking are fundamental concerns in professional training in Science, Technology' Engineering and Mathematics (STEM) disciplines. In spite of this, in the Chilean higher education system, as in most parts of the world, teaching programming is a challenging endeavor, partly because the majority of freshmen students in STEM undergraduate programs have not been introduced to the fundamentals of the discipline and its applications in K12 education. Therefore, students' attitudes, engagement, and autonomous learning can make a difference in how students in STEM disciplines in higher education face their first programming course. In the present study, we carried out measurement of variables associated to these constructs involving a sample of 1694 freshmen of seventeen STEM programs in a Chilean research university. Relevant differences were found among different STEM programs, and by student gender. Implications of the results obtained and future research avenues are discussed.

Original languageEnglish
Title of host publication2019 38th International Conference of the Chilean Computer Science Society, SCCC 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728156132
DOIs
StatePublished - Nov 2019
Event38th International Conference of the Chilean Computer Science Society, SCCC 2019 - Concepcion, Chile
Duration: 4 Nov 20199 Nov 2019

Publication series

NameProceedings - International Conference of the Chilean Computer Science Society, SCCC
Volume2019-November
ISSN (Print)1522-4902

Conference

Conference38th International Conference of the Chilean Computer Science Society, SCCC 2019
Country/TerritoryChile
CityConcepcion
Period4/11/199/11/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Attitudes
  • Autonomous learning
  • Engagement
  • Engineering education
  • Learning analytics
  • Programming education

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