Exploration of the Cultivation Path of Computational Thinking in Linear Algebra Curriculum
DOI: 10.23977/curtm.2024.070409 | Downloads: 14 | Views: 117
Author(s)
Shuxia Wang 1, Xinhong Liu 1
Affiliation(s)
1 Beijing Institute of Petrochemical Technology, Beijing, 102617, China
Corresponding Author
Shuxia WangABSTRACT
In the era of artificial intelligence and big data, computational thinking, as a way of solving problems and processing information, is particularly important for the development of college students. Computational thinking has become a basic thinking skill that every college student should possess. Linear algebra, as a branch of mathematics, mainly studies concepts such as systems of linear equations, vector spaces, and matrices, which have a natural connection with core elements such as problem-solving, abstraction, and modeling in computational thinking. This article explores several training paths for computational thinking in linear algebra courses, such as strengthening understanding of basic concepts and operation rules, cultivating students' abstract and modeling abilities through application cases, emphasizing logical reasoning and proof, introducing computer and programming tools to handle practical problems, organizing group discussions and cooperative learning, etc. Furthermore, it provides an assessment method for the effectiveness of computational thinking training.
KEYWORDS
Computational thinking, linear algebra, training path, assessment methodsCITE THIS PAPER
Shuxia Wang, Xinhong Liu, Exploration of the Cultivation Path of Computational Thinking in Linear Algebra Curriculum. Curriculum and Teaching Methodology (2024) Vol. 7: 56-60. DOI: http://dx.doi.org/10.23977/curtm.2024.070409.
REFERENCES
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[4] Li Panpan, Wei Zhang, Xinyao Zeng, et al. Construction of a Framework for Evaluating Core Elements of Computational Thinking based on Bloom's Educational Goal Classification [J]. Software Guide, 2023, 22(02):160-165.
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