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Exploration and Practice of Computer Fundamentals Course Based on Computational Thinking Competency Improvement

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Computer Science and Education (ICCSE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1812))

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Abstract

The computer fundamentals course is an important course in computer education in higher education. It serves the role of cultivating students’ computational thinking and being able to use information technology to solve complex computational problems in various majors. However, the original objectives and teaching content of the course did not meet the needs of the new AI era, did not integrate with the disciplines, and the teaching method did not reflect the shortcomings of student-centered. This paper constructs a computational thinking hierarchical competency improvement model of, and adopts the OBE method to reverse the teaching content, teaching methods and evaluation methods. The teaching reform achieved good results in practical teaching and learning. Finally, this paper discusses the inefficient of teaching reform and the direction of improvement in the future.

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Acknowledgment

The authors gratefully acknowledge the research funding from the following programs:

• Research Program of Ability training of Fundamental Computer education in the AI Era (2022-AFCEC-325);

• Research Program of Ideological and Political cases of Fundamental Computer Education (2022-AFCEC-326);

• Production and education integration and collaborative education project (220604973154905).

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Correspondence to Xiaoying Li .

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Li, X., Luo, J., Gu, C. (2023). Exploration and Practice of Computer Fundamentals Course Based on Computational Thinking Competency Improvement. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1812. Springer, Singapore. https://doi.org/10.1007/978-981-99-2446-2_6

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  • DOI: https://doi.org/10.1007/978-981-99-2446-2_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2445-5

  • Online ISBN: 978-981-99-2446-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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