Global Overview of Computational Thinking and Digital Tools for Teaching
- URL: http://arxiv.org/abs/2510.16847v1
- Date: Sun, 19 Oct 2025 14:09:25 GMT
- Title: Global Overview of Computational Thinking and Digital Tools for Teaching
- Authors: Roberto Massi De Oliveira, M^onica Cristina Garbin, Rodolfo Azevedo,
- Abstract summary: Computational Thinking (CT) has emerged as a critical component in modern education, essential to equip students with the skills necessary to thrive in a technology-driven world.<n>This survey provides a comprehensive analysis of the presence and integration of CT in school curricula across various countries.<n>It categorizes digital tools into groups such as visual programming, textual programming, electronic games, modeling, and simulation, assessing their use in different educational settings.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Computational Thinking (CT) has emerged as a critical component in modern education, essential to equip students with the skills necessary to thrive in a technology-driven world. This survey provides a comprehensive analysis of the presence and integration of CT in school curricula across various countries. In addition, this study categorizes digital tools into groups such as visual programming, textual programming, electronic games, modeling, and simulation, assessing their use in different educational settings. Furthermore, it examines how these tools are employed in various contexts, including the areas of knowledge and age groups they target, and the specific skills they help develop. The research also identifies key CT competencies that have been improved through these tools, including Cognitive and Analytical Competencies (CAC), Technical and Computational Competencies (TCC) and Social and Emotional Competencies (SEC). Furthermore, the study highlights recurring challenges in the implementation of digital tools for CT development, such as inadequate infrastructure, difficulties in the usability of the tool, teacher training, adapting pedagogical practices, and measuring student CT skills. Finally, it proposes areas for future research to address these challenges and advance CT education.
Related papers
- Accelerating scientific discovery with the common task framework [48.92654976046941]
Machine learning (ML) and artificial intelligence (AI) algorithms are transforming the characterization and control of dynamic systems in the engineering, physical, and biological sciences.<n>These emerging modeling paradigms require comparative metrics to evaluate a diverse set of scientific objectives.<n>We introduce a common task framework (CTF) for science and engineering, which features a growing collection of challenge data sets.
arXiv Detail & Related papers (2025-11-06T02:53:07Z) - AI in Computational Thinking Education in Higher Education: A Systematic Literature Review [1.503974529275767]
Computational Thinking (CT) is a key skill set for students in higher education to thrive and adapt to an increasingly technology-driven future and workplace.<n>While research on CT education has gained remarkable momentum in K12 over the past decade, it has remained under-explored in higher education.<n>The proliferation and adoption of artificial intelligence (AI) by educational institutions have demonstrated promising potential to support instructional activities.
arXiv Detail & Related papers (2025-10-08T20:11:46Z) - A Survey of Deep Learning for Geometry Problem Solving [52.90604903858389]
Geometry problem solving is vital across various domains, including education, the assessment of AI's mathematical abilities, and multimodal capability evaluation.<n>The recent surge in deep learning technologies, particularly the emergence of multimodal large language models, has significantly accelerated research in this area.
arXiv Detail & Related papers (2025-07-16T06:03:08Z) - Towards an intelligent assessment system for evaluating the development of algorithmic thinking skills: An exploratory study in Swiss compulsory schools [0.0]
This study aims to develop a comprehensive framework for large-scale assessment of CT skills, particularly focusing on AT, the ability to design algorithms.<n>We first developed a competence model capturing the situated and developmental nature of CT, guiding the design of activities tailored to cognitive abilities, age, and context.<n>We developed an activity for large-scale assessment of AT skills, offered in two variants: one based on non-digital artefacts (unplugged) and manual expert assessment, and the other based on digital artefacts (virtual) and automatic assessment.
arXiv Detail & Related papers (2025-03-27T13:34:36Z) - A Survey on Integrated Sensing, Communication, and Computation [57.6762830152638]
The forthcoming generation of wireless technology, 6G, aims to usher in an era of ubiquitous intelligent services.<n>The performance of these modules is interdependent, creating a resource competition for time, energy, and bandwidth.<n>Existing techniques like integrated communication and computation (ICC), integrated sensing and computation (ISC), and integrated sensing and communication (ISAC) have made partial strides in addressing this challenge.
arXiv Detail & Related papers (2024-08-15T11:01:35Z) - Designing the virtual CAT: A digital tool for algorithmic thinking assessment in compulsory education [0.0]
Algorithmic thinking (AT) is a critical skill in today's digital society.
We present the design and development process of the virtual Cross Array Task (CAT)
It is a digital adaptation of an unplugged assessment activity aimed at evaluating algorithmic skills in Swiss compulsory education.
arXiv Detail & Related papers (2024-08-02T13:36:17Z) - The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources [100.23208165760114]
Foundation model development attracts a rapidly expanding body of contributors, scientists, and applications.<n>To help shape responsible development practices, we introduce the Foundation Model Development Cheatsheet.
arXiv Detail & Related papers (2024-06-24T15:55:49Z) - Skills in computational thinking of engineering students of the first
school year [0.0]
The competence in Computational Thinking (CT) is one of the fundamental competences that students must acquire.
Measuring and evaluating which of the CT skills students have acquired is fundamental.
arXiv Detail & Related papers (2024-02-06T19:22:31Z) - Tool Learning with Foundation Models [158.8640687353623]
With the advent of foundation models, AI systems have the potential to be equally adept in tool use as humans.
Despite its immense potential, there is still a lack of a comprehensive understanding of key challenges, opportunities, and future endeavors in this field.
arXiv Detail & Related papers (2023-04-17T15:16:10Z) - Understanding the role of single-board computers in engineering and
computer science education: A systematic literature review [0.0]
Single-Board Computers (SBCs) have been employed more frequently in engineering and computer science both to technical and educational levels.
This systematic literature review explores how the SBCs are employed in engineering and computer science.
arXiv Detail & Related papers (2022-03-30T18:34:03Z) - A Survey of Knowledge Tracing: Models, Variants, and Applications [70.69281873057619]
Knowledge Tracing is one of the fundamental tasks for student behavioral data analysis.
We present three types of fundamental KT models with distinct technical routes.
We discuss potential directions for future research in this rapidly growing field.
arXiv Detail & Related papers (2021-05-06T13:05:55Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.