Communications

Proposed Method

1. 
   Research Methods
   

1. 
   Literature Research Method. In the process of pre- liminary preparation and research, a large number of searches from Internet literature, library journals, books, and other materials collect research and arti- ficial intelligence technology, artificial intelligence technology teaching applications, and artificial intel- ligence technology to promote teaching reform. And for other relevant Chinese and foreign literature, analyze and interpret these documents, grasp the current status of artificial intelligence technology, theory, and research, and make theoretical and tech- nical learning reserves.
   
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   Case Analysis Method. This method specifically ana- lyzes practical examples of artificial intelligence teaching applications, extracts which teaching ele- ments have artificial intelligence and what impact, and analyzes how artificial intelligence technology is well integrated into the teaching process. It dis- cusses how artificial intelligence technology exerts force in teaching, how to promote teaching reform, and provides case references for future artificial intelligence technology teaching applications.
   
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   Interview Method. At the beginning of the disserta- tion, through interviews with relevant experts and scholars, investigate the current situation of the use of artificial intelligence technology in teaching, stu- dents and teachers’ attention, and recognition and use of educational artificial intelligence and under- stand what artificial intelligence will change in teach- ing. Effectively grasping the development direction of educational artificial intelligence through investi- gation will help to better promote the theoretical and practical improvement of the deep integration of artificial intelligence and education and teaching
   

2. 
   Distributed Cognitive Theory. Distributed cognition refers to the distribution of cognition within individuals, among individuals, media, environment, culture, society and time. It proposes a new perspective that considers the whole picture of cognitive activities, focusing on the interac- tion between the environment, individuals, representation, media and artifacts and believes that distributed elements must depend on each other to complete tasks. Distributed cognitive theory has important guiding significance for the research of artificial intelligence to promote teaching reform:
   

Wireless Communications and Mobile Computing 3

1. 
   “Artifacts” such as tools and technologies in distrib- uted cognition can transfer cognitive tasks and reduce cognitive load. When the learning content of the learner is beyond the cognitive scope and can- not be solved, intelligent learning software can help reduce the cognitive load and guide the learner to develop deep cognition. At the same time, simple and repetitive cognitive tasks can be delegated to intelligent robots, so that individuals can perform more creative cognitive activities. The future must be an era of cooperation between humans and intel- ligent machines. What humans are good at and what intelligent machines are good at may be very differ- ent. The wisdom generated by the cooperation between humans and artificial intelligence will far exceed the individual or artificial intelligence. Human-machine collaboration has become the basic cognitive way for individuals to face complex prob- lems, and human cognition is moving from individ- ual cognition to distributed cognition
   
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   Distributed cognition emphasizes the interaction between cognition and cognitive environment. Cog- nitive individuals are conducive to constructing their own cognitive structure in the process of interaction. The interaction in teaching is not only the interac- tion between teachers and students, but also the interaction between students and students, the inter- action between teachers and students, the interaction between humans and machines, etc. In the intelligent teaching environment supported by artificial intelli- gence, there are more interactive ways. The interac- tion can reconstruct the learning experience and even affect the individual’s cognition through touch, hearing, and vision
   

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