Research on the Internal Mechanism, Model, and Effectiveness of Online Deep Learning

BU Caili, LI Sa, YANG Haihui, WANG Limin, ZHANG Tong, ZHANG Si

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PDF(2830 KB)
Front. Educ. China ›› 2023, Vol. 18 ›› Issue (3) : 310-331. DOI: 10.3868/s110-008-023-0024-9
RESEARCH ARTICLE

Research on the Internal Mechanism, Model, and Effectiveness of Online Deep Learning

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Abstract

With the in-depth development of internet plus education and the COVID-19 pandemic, online learning has become a universal teaching method in the world. However, the issue of superficial and low quality in online learning is still widespread. From the internal and external conditions of online deep learning, this study reveals the theory mechanism of how the online learning environment and teacher support, as external conditions, affect students’ emotions and learning motivation, and then affect students’ internal learning state. On this basis, an online deep teaching model is constructed, which consists of three stages: online asynchronous self-study before class, online synchronous live broadcasting teaching in class, and online asynchronous expansion after class. Meanwhile, a one term long online teaching practice is carried out in the course named the Instructional System Design. The results show that, in the learning process level, the online deep teaching model can effectively improve students’ online learning engagement, promote students to use deep learning methods and deep learning motivation to learn, and enhance the depth of online interaction between students. At the level of learning results, students’ critical thinking and online academic performance have been significantly improved.

Keywords

online learning / online deep learning / internal mechanism / teaching model / teaching effectiveness

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BU Caili, LI Sa, YANG Haihui, WANG Limin, ZHANG Tong, ZHANG Si. Research on the Internal Mechanism, Model, and Effectiveness of Online Deep Learning. Front. Educ. China, 2023, 18(3): 310‒331 https://doi.org/10.3868/s110-008-023-0024-9

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