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COMPUTATIONAL THINKING FOR TEACHING ALGORITHM AND PROGRAMMING LOGIC IN DISTANCE LEARNING TECHNOLOGY COURSES

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DOI:

https://doi.org/10.1590/SciELOPreprints.10437

Keywords:

computational thinking, distance education, technology teaching

Abstract

Distance Education (DE) has established itself as a means to democratize access to education, especially for individuals residing in remote areas, facing geographical barriers, or requiring flexibility in study schedules. Additionally, regarding content learning, students lacking a solid foundation in mathematics and/or technology may encounter difficulties in solving problems logically and structurally, impacting the learning of essential content for their development. With a focus on training professionals in the field of Information Technology, one strategy that can be employed to motivate and assist early-year students in a distance technology course to understand programming-related content is Computational Thinking (CT). Based on these considerations, this study proposes to employ the fundamentals of decomposition, pattern recognition, abstraction, and algorithm to help first-year students in the distance course "Systems Analysis and Development" understand content in the "Algorithms and Programming Logic" discipline. To this end, bibliographic research was conducted through the Scopus and Scielo databases, along with action research through which an activity was designed for first-year students in the course. We hope the proposal can effectively contribute to developing key skills in future programmers, enabling them to perform effectively and competently in the field of information technology.

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Author Biographies

Alessandra Dutra, Federal University of Technology of Paraná

She holds a degree in Letters - Anglo with the respective literatures from the State University of Londrina (1997), a Master's degree in Language Studies from the State University of Londrina (2003) and a PhD in Linguistics and Portuguese Language from the São Paulo State University Júlio de Mesquita Filho (2008). She is a full professor at the Federal Technological University of Paraná-UTFPR. She coordinated the Graduate Program in Teaching Human, Social and Natural Sciences - PPGEN from 2013-2017 and was deputy coordinator of PPGEN from 2017 to 2019. She is a permanent professor at the Graduate Program in Science and Technology Teaching - PPGECT (Academic Doctorate), in Ponta Grossa-PR. She works on Multiliteracies, especially Digital Literacies, especially with proposals that prioritize the development of Computational Thinking. She was a research productivity fellow at Fundação Araucária from 2019 to 2021

Kheronn Khennedy Machado, Federal University of Technology of Paraná

PhD student in Science and Technology Teaching at the Federal Technological University of Paraná (UTFPR), Master in Informatics at the Federal University of Paraná (UFPR). Teacher of the state public school system of Paraná in the disciplines of Mathematics, Programming, Robotics and Computational Thinking. He works in continuing teacher training as a tutor for teacher trainers. He also participated in the continuing education of teachers as a pedagogical advisor in educational technologies also in the public network of Paraná. He has experience as a teacher in higher education in the courses of Information Systems, Administration and Pedagogy. Experience in the area of Teaching and Computing with emphasis on Software Engineering. Graduated in Data Processing from FATEC - Faculty of Technology of São Paulo (Ourinhos - SP).

Posted

12/04/2024

How to Cite

COMPUTATIONAL THINKING FOR TEACHING ALGORITHM AND PROGRAMMING LOGIC IN DISTANCE LEARNING TECHNOLOGY COURSES. (2024). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.10437

Section

Human Sciences

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