Abstract
With the wide application of the Internet plus in the teaching field, the traditional classroom teaching mode is facing severe challenges. The traditional mode restrains students’ interest in learning, limits the development of their ability of exploration and innovation, and the MOOC teaching mode with online learning as the core has its inherent defects in the process of teaching implementation, which can not completely replace classroom teaching. Therefore, based on the advantages of traditional classroom teaching and MOOC teaching, combined with a supervised learning algorithm, an online and offline collaborative teaching mode based on supervised learning algorithm is designed. The mode design is divided into four steps: MOOC platform analysis, supervised learning algorithm selection, online and offline collaborative teaching mode design, online and offline collaborative teaching mode implementation. The results show that after the implementation of the online and offline collaborative teaching scheme based on the supervised learning algorithm, the effect is better than before, which proves that the collaborative teaching mode is effective.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, Xp., Qin, Ff., Zhang, T., Lv, Cm. (2020). Design of Collaborative Teaching Mode of Online and Offline Based on Supervised Learning Algorithm. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-63952-5_21
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DOI: https://doi.org/10.1007/978-3-030-63952-5_21
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