Overview of Computer Programming Teaching and Learning at the Federal Institute of Paraná

• João Henrique Berssanette IFPR
• Antonio Carlos de Francisco UTFPR

DOI: https://doi.org/10.5753/encompif.2022.223037

Abstract

This paper presents the results of research that aimed to develop an overview of the teaching and learning of computer programming at the Federal Institute of Paraná IFPR. To this end, the documentary research was carried out taking as a base the year 2018. The study's research data were obtained from public data and institutional systems. Among the results of the study are: the identification of where the teaching and learning of computer programming occur in IFPR; the profile of the professors who teach the introductory programming disciplines in the institution; and the learning performance indices of the students in these disciplines.

Keywords: Teaching, Learning, Computer Programming, IFPR

References

Bennedsen, J. and Caspersen, M. E. (2007). Failure rates in introductory programming. ACM SIGCSE Bulletin, v. 39, n. 2, p. 32–36.

BERSSANETTE, J. H. (2021). Metodologias ativas de aprendizagem e a teoria da carga cognitiva para a construção de caminhos no ensino de programação de computadores. 2021. Tese (Doutorado em Ensino de Ciência e Tecnologia) - Universidade Tecnológica Federal do Paraná, Ponta Grossa.

Bosse, Y. and Gerosa, M. A. (2015). As Disciplinas de Introdução à Programação na USP: um Estudo Preliminar. In Anais do Workshop Sobre Educação em Computação (WEI).

BRASIL (2018). Base Nacional Comum Curricular: educação é a base. MEC. [link], [accessed on Jan 22].

Chao, P.-Y. (2016). Exploring students’ computational practice, design and performance of problem-solving through a visual programming environment. Computers & Education, v. 95, p. 202–215.

Selby, C. C. (2015). Relationships: Computational thinking, pedagogy of programming, and Bloom’s Taxonomy. In Proceedings of the Workshop in Primary and Secondary Computing Education on ZZZ - WiPSCE ’15.

Simon, Luxton-Reilly, A., Ajanovski, V. V., et al. (2019). Pass Rates in Introductory Programming and in other STEM Disciplines. In Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education.

Watson, C. and Li, F. W. B. (2014). Failure rates in introductory programming revisited. In Proceedings of the 2014 conference on Innovation & technology in computer science education - ITiCSE ’14.

Yadav, A., Gretter, S., Hambrusch, S. and Sands, P. (2017). Expanding computer science education in schools: understanding teacher experiences and challenges. Computer Science Education, v. 26, n. 4, p. 235–254.

Yadav, A., Hong, H. and Stephenson, C. (2016). Computational Thinking for All: Pedagogical Approaches to Embedding 21st Century Problem Solving in K-12 Classrooms. TechTrends, v. 60, n. 6, p. 565–568.