Big Data and Higher Vocational and Technical Education: Green Tourism Curriculum

This paper aims to explore the road to innovation in big data and higher vocational and technical education with the green tourism curriculum as an example. The method is as follows: first, introducing a statistical-based machine learning method to deal with large probability events, secondly, introducing a human-computer interaction interface technology to deal with small probability events, and third, introducing an expert knowledge acquisition technique to deal with special exceptions. It is characterized by a combination of three approaches, focusing on the interdisciplinary, cross-domain and cross-industry smart system construction, and converging to the knowledge module of the green tourism curriculum. The result is: not only highlights the comprehensive innovative concept of the green tourism curriculum, but also forms a smart guide system that combines personalization and standardization, through conceptual maps, knowledge graphs and methodological tools that express scientific principles, combined with typical examples and representative figures and featured scenic spots, and a new paradigm for computer-assisted instruction. The significance lies in: not only is it conducive to the creation of quality courses, but it is also beneficial to the teachers and students to theoretically and practically carry out the characteristics of the green tourism curriculum, namely: a series of problems, difficulties and pain points for international and domestic tourism, forming a reasonable division of labor is necessary to further develop the green tourism curriculum and its supporting smart systems of interpersonal, human-machine, inter-machine, and machine-to-person.