The CTSkills App -- Measuring Problem Decomposition Skills of Students in Computational Thinking
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arXiv
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| Auteurs principaux: | , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866916492362121216 |
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| author | Assaf, Dorit Adorni, Giorgia Lutz, Elia Negrini, Lucio Piatti, Alberto Mondada, Francesco Mangili, Francesca Gambardella, Luca Maria |
| author_facet | Assaf, Dorit Adorni, Giorgia Lutz, Elia Negrini, Lucio Piatti, Alberto Mondada, Francesco Mangili, Francesca Gambardella, Luca Maria |
| contents | This paper addresses the incorporation of problem decomposition skills as an important component of computational thinking (CT) in K-12 computer science (CS) education. Despite the growing integration of CS in schools, there is a lack of consensus on the precise definition of CT in general and decomposition in particular. While decomposition is commonly referred to as the starting point of (computational) problem-solving, algorithmic solution formulation often receives more attention in the classroom, while decomposition remains rather unexplored. This study presents "CTSKills", a web-based skill assessment tool developed to measure students' problem decomposition skills. With the data collected from 75 students in grades 4-9, this research aims to contribute to a baseline of students' decomposition proficiency in compulsory education. Furthermore, a thorough understanding of a given problem is becoming increasingly important with the advancement of generative artificial intelligence (AI) tools that can effectively support the process of formulating algorithms. This study highlights the importance of problem decomposition as a key skill in K-12 CS education to foster more adept problem solvers. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_14945 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The CTSkills App -- Measuring Problem Decomposition Skills of Students in Computational Thinking Assaf, Dorit Adorni, Giorgia Lutz, Elia Negrini, Lucio Piatti, Alberto Mondada, Francesco Mangili, Francesca Gambardella, Luca Maria Human-Computer Interaction Computers and Society Emerging Technologies This paper addresses the incorporation of problem decomposition skills as an important component of computational thinking (CT) in K-12 computer science (CS) education. Despite the growing integration of CS in schools, there is a lack of consensus on the precise definition of CT in general and decomposition in particular. While decomposition is commonly referred to as the starting point of (computational) problem-solving, algorithmic solution formulation often receives more attention in the classroom, while decomposition remains rather unexplored. This study presents "CTSKills", a web-based skill assessment tool developed to measure students' problem decomposition skills. With the data collected from 75 students in grades 4-9, this research aims to contribute to a baseline of students' decomposition proficiency in compulsory education. Furthermore, a thorough understanding of a given problem is becoming increasingly important with the advancement of generative artificial intelligence (AI) tools that can effectively support the process of formulating algorithms. This study highlights the importance of problem decomposition as a key skill in K-12 CS education to foster more adept problem solvers. |
| title | The CTSkills App -- Measuring Problem Decomposition Skills of Students in Computational Thinking |
| topic | Human-Computer Interaction Computers and Society Emerging Technologies |
| url | https://arxiv.org/abs/2411.14945 |