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Digital Competence & Computational Thinking for Preschool Pre-service Teachers: From Lab to Practice
Linnaeus University, Faculty of Technology, Department of Informatics.ORCID iD: 0000-0002-2266-3441
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0009-0008-8564-9277
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-6937-345X
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2022 (English)In: Proceedings of Sixth APSCE International Conference on Computational Thinking and STEM Education 2022: 5-17 June 2022, Delft, The Netherlands / [ed] Xiaoling Zhang, Christian Glahn, Nardie Fanchamps, Marcus Specht, Netherlands, 2022Conference paper, Published paper (Refereed)
Abstract [en]

Digital competence is a skill associated with the 21- century abilities essential to contribute to today’s and tomorrow’s digital and technical environments. Computational Thinking (CT), which is a thought process for problem-solving, is one of the emerging trends that make up digital competence. In our explorative study, we have used educational robotics with four pre-service teachers during their four- week s placement at different preschools. We applied three distinct and complementary approaches to design and conduct this study: Systems Thinking (ST); Technological Pedagogical Content Knowledge; and Computing Pedagogy. Our findings are categorized in two main perspectives: pre-service teachers and children. In the pre-service teachers' perspective, the participants indicated that their educational program lacks specific content and activities related to digital competence, CT, and programming. Despite the initial pre-service teachers’ thoughts on improvement of children's CT concepts, the findings show that CT practices such as collaboration and trial and error were developed. From the children’s perspective, the empirical findings illustrate that digital competence and CT development vary depending on the age of the children; whereas logical thinking and pattern recognition are skills that were present along the whole age range of children (ages 2-6), other CT skills like algorithmic thinking were developed among older children only (aged 5-6). We learned that an ST approach can behelpful, as multiple factors are involved in the practice. It reveals the underlying features of the situation that emerge when components of the system interact with each other.

Place, publisher, year, edition, pages
Netherlands, 2022.
Series
CTE-STEM 2022 conference ; 2022
Keywords [en]
Computational thinking, systems thinking, digital competence, pre-service teacher education
National Category
Computer Systems
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-114484DOI: 10.34641/ctestem.2022.464Scopus ID: 2-s2.0-85148704359ISBN: 9789463665636 (print)OAI: oai:DiVA.org:lnu-114484DiVA, id: diva2:1672898
Conference
Sixth APSCE International Conference on Computational Thinking and STEM Education, 5-17 June 2022, Delft, The Netherlands
Available from: 2022-06-20 Created: 2022-06-20 Last updated: 2024-09-03Bibliographically approved
In thesis
1. A Systems Thinking Approach to Computational Thinking in Education
Open this publication in new window or tab >>A Systems Thinking Approach to Computational Thinking in Education
2023 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In today's rapidly changing world, the acquisition of essential skills is crucial for the success of young individuals. Among these skills, computational thinking (CT) plays a vital role in problem-solving and adapting to the complex and evolving demands of the 21st century. However, there is a need to explore the integration of other thinking skills alongside CT, as well as their application in educational settings.

This study aims to address the gap in knowledge regarding the application of systems thinking to the development of CT and its integration into education. The primary objective is to explore the relationship between systems thinking and CT, providing a contextual framework for existing studies that focus on systems thinking in relation to CT. Additionally, the study explores how systems thinking can be applied to CT within educational contexts. By incorporating a systems thinking approach, a broader examination of the various factors involved in CT, including the technological landscape, individual skills and knowledge, and the social and cultural context, can be achieved.

The thesis comprises three papers that describe research efforts conducted over three years. These projects focused on CT development using educational robotics and maker technologies, aiming to build and enhance CT skills among individuals of different ages and perspectives. The findings of the research efforts are synthesized and consolidated using the systemic FMA model, a comprehensive model that interconnects the frameworks of ideas, methodology, and the area of interest. This model conceptualizes CT practices as a system encompassing emergent properties, multiple perspectives, design interventions, and social and ethical considerations. The adopted FMA model enables methodological pluralism and facilitates critical examination of the boundaries of CT development, leading to conceptual and practical changes.

The research contributes to the field of CT by providing insights into its theoretical foundations and practical applications, informing and guiding educational practices that are associated with CT. 

Place, publisher, year, edition, pages
Linnaeus University Press, 2023. p. 65
Series
Lnu Licentiate ; 45
National Category
Computer Systems Information Systems
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-124012 (URN)10.15626/LnuLic.45.2023 (DOI)9789180820677 (ISBN)9789180820684 (ISBN)
Presentation
2023-09-21, Newton, Hus C, Växjö, 10:00 (English)
Opponent
Supervisors
Available from: 2023-09-01 Created: 2023-09-01 Last updated: 2024-03-13Bibliographically approved

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Hamidi, AliZerega, RafaelMilrad, MarceloMasiello, Italo

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Hamidi, AliZerega, RafaelMilrad, MarceloMasiello, Italo
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Department of InformaticsDepartment of computer science and media technology (CM)Department of Pedagogy and Learning
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