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Relationships between computational thinking and the quality of computer programs
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In: ISSN: 1360-2357 ; EISSN: 1573-7608 ; Education and Information Technologies ; https://hal.archives-ouvertes.fr/hal-03596834 ; Education and Information Technologies, Springer Verlag, In press, ⟨10.1007/s10639-022-10921-z⟩ (2022)
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On Semiotics Perspectives of Computational Thinking: Unravelling the “Pamphlet” Approach, a Case Study
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In: Sustainability; Volume 14; Issue 4; Pages: 1956 (2022)
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Exploring Measurement through Coding: Children’s Conceptions of a Dynamic Linear Unit with Robot Coding Toys
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In: Education Sciences; Volume 12; Issue 2; Pages: 143 (2022)
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Diseño y desarrollo de un juego de navegador para comenzar a aprender construcciones básicas de programación
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Why, What and How to help each Citizen to Understand Artificial Intelligence?
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In: EISSN: 0933-1875 ; KI - Künstliche Intelligenz ; https://hal.inria.fr/hal-03024034 ; KI - Künstliche Intelligenz, Springer Nature, 2021, pp.1610-1987 (2021)
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Formalizing Problem Solving in Computational Thinking : an Ontology approach
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In: IEEE ICDL 2021 – International Conference on Development and Learning 2021 ; https://hal.inria.fr/hal-03324136 ; IEEE ICDL 2021 – International Conference on Development and Learning 2021, Aug 2021, Beijing, China (2021)
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The bayesian thinking, a pervasive computational thinking ; El pensamiento bayesiano, un pensamiento computacional omnipresente
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In: Distance Education Journal; Vol. 21 No. 68 (2021): Education in Mathematics, Computational Thinking and STEM supported by digital technology. Its instructional design. The activation principle. ; Revista de Educación a Distancia (RED); Vol. 21 Núm. 68 (2021): La educación en Matemáticas, Pensamiento Computacional y STEM apoyada por la tecnología digital. Su diseño instruccional. El principio de activación. ; 1578-7680 (2021)
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Facilitadores del desarrollo del pensamiento computacional en estudiantes costarricenses
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 68, 2021, pags. 85-96 (2021)
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History of Logo
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In: Proceedings of the ACM on Programming Languages, vol 4, iss HOPL (2020)
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Learning Resources with Augmented Reality
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Henriques, Pedro R.. - : OASIcs - OpenAccess Series in Informatics. First International Computer Programming Education Conference (ICPEC 2020), 2020
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Global Aviation System: Towards Sustainable Development
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In: International Journal of Aviation, Aeronautics, and Aerospace (2019)
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Children's perspectives on the use of robotics for second language learning in the early years of primary education: a pilot study ; CALL and complexity ? short papers from EUROCALL 2019 ; Eurocall
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Radical systems thinking and the future role of computational modelling in ergonomics: an exploration of agent-based modelling
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| 14 |
Curricular integration of computational thinking, programming and robotics in basic education: a proposal for teacher training
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| 15 |
Robótica para desarrollar el pensamiento computacional en Educación Infantil
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 59, 2019, pags. 63-72 (2019)
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Computational thinking and online learning: A systematic literature review
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In: Kirwan, Colette orcid:0000-0003-3145-3574 , Costello, Eamon orcid:0000-0002-2775-6006 and Donlon, Enda orcid:0000-0003-2817-9033 (2018) Computational thinking and online learning: A systematic literature review. In: 17th European Conference on e-Learning (ECEL 2018), 1-2 Nov 2018, Athens, Greece. ISBN 978-1-5108-7462-6 (2018)
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Abstract:
This paper introduces research concerned with investigating how Computational Thinking and online learning can be successfully married to help empower secondary teachers to teach this subject. To aid this research, a systematic literature review was undertaken to investigate what is currently known in the academic literature on where Computational Thinking and online learning intersect. This paper presents the findings of this systematic literature review. It outlines the methodology used and presents the current data available in the literature on how Computational Thinking is taught online. Using a systematic process eight hundred articles were initially identified and then subsequently narrowed down to forty papers. These papers were analysed to answer the following two questions: 1. What are the current pedagogical approaches to teaching Computational Thinking online? 2. What were the categories of online learning observed in the teaching of Computational Thinking? Our findings show that a wide range of pedagogical approaches are used to teach Computational Thinking online, with the constructivist theory of learning being the most popular. The tools used to teach Computational Thinking were also varied, video game design, playing video games, competitions, and unplugged activities, to name a few. A significant finding was the dependency between the tool used and the definition of the term Computational Thinking. Computational Thinking lacks consensus on a definition, and thus the definition stated in the literature changed depending on the tool. By considering a significant body of research up to the present, our findings contribute to teachers, researchers and policy makers understanding of how computational thinking may be taught online at second level.
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Keyword:
Computational Thinking; Education; Educational technology; Online Learning; Pedagogy; Secondary Education7
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URL: http://doras.dcu.ie/22874/
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From Abstraction to Implementation: Can Computational Thinking Improve Complex Real-World Problem Solving? A Computational Thinking-Based Approach to the SDGs
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In: IFIP Advances in Information and Communication Technology ; 14th International Conference on Social Implications of Computers in Developing Countries (ICT4D) ; https://hal.inria.fr/hal-01650059 ; 14th International Conference on Social Implications of Computers in Developing Countries (ICT4D), May 2017, Yogyakarta, Indonesia. pp.104-116, ⟨10.1007/978-3-319-59111-7_10⟩ (2017)
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What Lenneberg Got Right: A Homological Program for the Study of Language Evolution
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In: BIOLINGUISTICS; Vol. 11 (2017): Special Issue—50 Years Later: A Tribute to Eric Lenneberg’s Biological Foundations of Language; 139-170 ; 1450-3417 (2017)
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What Lenneberg Got Right: A Homological Program for the Study of Language Evolution
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In: Biolinguistics, Vol 11, Iss SI (2017) (2017)
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What Lenneberg Got Right: A Homological Program for the Study of Language Evolution
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In: Biolinguistics, Vol 11, Iss SI, Pp 139-170 (2017) (2017)
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