Abstract
The world is constantly changing and the problems and challenges we encounter today concerning the work eco-system or concerning in personal life may not be the same in the future. Today’s students are the next generation of people who will be exposed to these new problems. So, it is urgent that these students acquire knowledge, skills, and the ability to solve problems, to successfully overcome the evolution challenges. We argue that Computational Thinking (CT) can help students develop skills deemed necessary for citizens of next generation. For this, we built a web platform called Computational Thinking 4 All, which will be the workbench of any teacher who wants to prepare his students to acquire Computational Thinking skills. Computational Thinking 4 All contains a repository of Learning Resources – LaRaCiTa. These Learning Resources will allow students to develop CT skills. This article presents these two artefacts, the platform and the repository, as a solution to help teachers develop CT skills in their students, and consequently help them acquire the necessary knowledge and skills for citizens of the next generation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
Organisation for Economic Co-operation and Development.
- 2.
Acessible at: https://www.oecd.org/education/2030-project/about/.
- 3.
International Society for Technology in Education.
- 4.
Computer Science Teachers Association.
- 5.
All the icons in Fig. 1 were taken from the website: “The Noun Project” (https://thenounproject.com/). Accessed: 2021-12-30.
- 6.
Topics or skills necessary to execute that activity.
- 7.
Time necessary to complete the activity.
- 8.
It is important that a resource requires knowledge from different areas involving more than one course, promoting interdisciplinary.
References
Araújo, C., Lima, L., Henriques, P.R.: An Ontology based approach to teach Computational Thinking. In: 21st International Symposium on Computers in Education (SIIE), November 2019. C. G. Marques, I. Pereira, and D. Pérez, Eds., IEEE Xplore, pp. 1–6
Araújo, C., Rangel Henriques, P., José Cerqueira, J.: Creating Learning Resources based on Programming concepts. In: 15th International Conference on Informatics in Schools – A step beyond digital education (ISSEP 2022) (2022). A. Bollin and G. Futschek, Eds., CEUR-WS
Bandura, A.: Self-efficacy?: The Exercise of Control. W.H. Freeman, New York (1997)
Barefoot. Computational Thinking Concepts and Approaches (2021). Accessed: 2021-11-07
Brennan, K., Resnick, M.: New frameworks for studying and assessing the development of computational thinking. In: Proceedings of the 2012 Annual Meeting of the American Educational Research Association, Vancouver, Canada (2012), vol. 1, p. 25
Bušljeta, R.: Effective use of teaching and learning resources. Czech-Polish Historical Pedagogical J. 5(2), 55–70 (2013)
Denner, J., Werner, L., Ortiz, E.: Computer games created by middle school girls: can they be used to measure understanding of computer science concepts? Comput. Educ. 58(1), 240–249 (2012)
ISTE, and CSTA. Operational Definition of Computational Thinking for K-12 Education (2011). Accessed: 2021-11-07
OCDE. Embedding Values and Attitudes in Curriculum (2021)
OECD. Knowledge for 2030 concept note. Technical report, OECD – Organisation for Economic Co-operation and Development (2019)
OECD. Oecd future of education and skills 2030 concept note. Technical report, OECD – Organisation for Economic Co-operation and Development (2019)
OECD. Skills for 2030 concept note. Technical report, OECD – Organisation for Economic Co-operation and Development (2019)
Selby, C., Woollard, J.: Computational thinking: the developing definition
Weintrop, D., et al.: Defining computational thinking for mathematics and science classrooms. J. Sci. Educ. Technol. 25(2), 127–147 (2016)
Wing, J.M.: Computational thinking. Commun. ACM 49(3), 33–35 (2006)
Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., Korb, J.T.: Computational thinking in elementary and secondary teacher education. ACM Trans. Comput. Educ. 14(1) (2014)
Acknowledgment
This team work has been supported by FCT - Fundação para a Ciência e Tecnologia within the R &D Units Project Scope: UIDB/00319/2020.
The Ph.D. work of Cristiana Araújo is supported by FCT - Fundação para a Ciência e Tecnologia, Research Grant, with reference 2020.09845.BD.
We are in debt to all our students of the Master’s in Education and Informatics (eds. 21–22 and 22–23) for having developed the Learning Resources that made possible this paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Araújo, C., Henriques, P.R., Cerqueira, J.J. (2024). Training Computational Thinking to Leverage Citizens of Next Generation. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-031-45645-9_46
Download citation
DOI: https://doi.org/10.1007/978-3-031-45645-9_46
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-45644-2
Online ISBN: 978-3-031-45645-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)