Abstract
The highest level of computational thinking training is to improve students’ ability to use computational thinking to innovate. Constructing a scientific teaching mode of computational thinking, teaching guidance of computational thinking in blended learning is deeply excavated. Developing students’ thinking, students’ ability of autonomic learning and flexible application is strengthened. Training of computational thinking ability is combined with cultivation of innovative talents. New ideas and new ways for the country to train innovative talents are provided. In this study, computational thinking and blended learning are first analyzed and summarized, and the common learning theories are summarized. It is supported by the practice of solving problems by using computational thinking in daily life. The characteristics of learners, the current situation of learning resources, and learning environment in blended learning are analyzed. On this basis, a hybrid learning model based on computational thinking is constructed. Through the analysis and research of computational thinking ability training and blended learning case practice, the effectiveness and feasibility of blended learning based on computational thinking are summarized.
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Acknowledgements
This research was financially supported by the 2016 Hainan Education Science Research Topics of the 13th Five-Year Plan (No. QJY13516030).
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Shen, C., Zhang, K. (2020). Research on Computational Thinking Ability Training and Blended Learning. In: Jain, V., Patnaik, S., Popențiu Vlădicescu, F., Sethi, I. (eds) Recent Trends in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-9406-5_35
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DOI: https://doi.org/10.1007/978-981-13-9406-5_35
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