Currently, mental health education in college is constrained by various factors (e.g. the complex mentality of college students). This paper mainly discusses the extensible strategies for mental health education of college students, and develops a performative analysis model of these extensible strategies. Firstly, the problems in mental health education of college students were enumerated, and an extension model was set up for mental health education in colleges. On this basis, the extensible strategies were generated for college mental health education. Then, a performance analysis model was presented to effectively select and optimize the extensible strategies. The research results provide a theoretical guide for solving complex problems with extension strategy and promoting mental health education in colleges.
This research constructs a disruptive technology identification framework based on attributes and functions and selects intelligent logistics robot technology for empirical analysis in the artificial intelligence & Internet of Things (AIoT) industry. We take the three attributes of technological novelty, breakthrough, and influence as measurement indicators to identify disruptive technologies and perform functional analysis of the technology to find potential markets for disruptive technologies. The research demonstrates that two‐dimensional code technology, sensing technology, intelligent control technology, artificial intelligence technology, and wireless communication technology are disruptive technologies in intelligent logistics robots. The future development directions of intelligent logistics robots include efficient, intelligent control operations, good human‐computer interaction, accurate safety obstacle avoidance, and accurate and efficient position detection. This research has put forward the future development direction of disruptive technology in AIoT and provided a reference for the R&D and manufacture of intelligent logistics robots.
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