Experiment is an important part of engineering teaching. Through experiment, students can deeply understand theoretical knowledge and cultivate practical ability. Good experimental environment and rich experimental content can often become a bridge between students and enterprises, and effectively bridge the gap between industrial talent, skill demand and actual training and course teaching. However, the sudden events such as COVID-19's epidemic situation have posed a challenge to the traditional experimental form based on offline operation. Therefore, this paper takes the Internet of things engineering major as the background, and adopts the concept of full-time online (All-Online) to discuss and study the online and offline integration of experimental teaching. First of all, this paper expounds the problems existing in the experimental teaching of the Internet of things engineering specialty in our school; secondly, the problem-oriented work is discussed in detail, including the construction of the mapping model between the curriculum group and the experimental group and the full-time online driving model. An integrated cloud-based experimental platform group of the Internet of things is developed, on the basis of which a new double closed-loop experimental teaching method of full-time online and offline learning is designed and formed. Through this way, we can effectively establish a new talent training mode of "three-stage integration" from university education, enterprise employment to lifelong learning, and finally realize the talent training goal of "teaching-practice-practice-use-refinement".

Lili Zhang, Huina Jiang, Wei Wei, Jing Li, Ning Cui. Thinking in the Post-Epidemic Era: Research on Full-Time Online Experimental Teaching of the Internet of Things. International Journal of New Developments in Education (2023) Vol. 5, Issue 14: 1-6. https://doi.org/10.25236/IJNDE.2023.051401.

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