The Internet of Things (IoT) and artificial intelligence(AI) and multimedia technology are hot topics in academia and industry in recent years. As a typical representative of the IoT, AI and multimedia technology, the challenges and construction of modern Internet of Things college education based on algorithm recommendation have attracted the attention of the educational community. With the advent of network technology, it has ushered in the IoT era under algorithm recommendation. The traditional teaching mode and content of college education have lagged behind. How to seize the opportunity and meet the challenge is an important issue facing Chinese universities. IoT has the characteristics of convenience and multimedia, which promotes the reform of university teaching and provides new development opportunities for university teaching. However, the development of IoT in China is relatively late. Although IoT education is quite common, there is a big gap between IoT education and traditional education. Students' understanding of IoT education is relatively low. The construction of education platform is not yet mature. Educational resources are scarce, and the evaluation system is not perfect. Therefore, IoT technology should be fully used to promote the healthy development of schools. This is not only to create a good educational ecological environment, but also to achieve the effectiveness of education. The research showed that students' satisfaction with IoT college education was as high as 98%, and the teaching efficiency was relatively stable at 85%~97%. However, traditional college education was relatively low in all aspects, which could not stimulate students' enthusiasm for learning. IoT style classroom model jumps out of the traditional classroom model and avoids many unnecessary troubles. The research in this paper has important guiding significance for the application of IoT, AI and multimedia technology. 

Austria Ramir. Challenges and Construction Path of Modern Internet of Things College Education under Algorithm Recommendation. International Journal of Educational Innovation and Science (2020), Vol. 1, Issue 1: 31-42. https://doi.org/10.38007/IJEIS.2020.010103.

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