2021
DOI: 10.1155/2021/3415125
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Application of Artificial Intelligence Techniques in Operating Mode of Professors’ Academic Governance in American Research Universities

Abstract: Artificial intelligence technology is an important transformative force for teaching innovation in the intelligent era. It is being widely used in American school teaching, including the design of intelligent tutoring systems to achieve precise problem solving, the machine learning technology to ensure personalized activity design, the creation of intelligent virtual reality to promote classroom teaching contextualization, and the development of intelligent evaluation systems to ensure the scientific evaluatio… Show more

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Cited by 4 publications
(4 citation statements)
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“…Studies have shown that the application of science and technology can cause changes in six elements of teaching design, such as teaching objectives, teaching objects, and teaching content [17]. Wang, R. et al believe that artificial intelligence technology is an important technology for intelligent school teaching innovation, taking the American school teaching application as an example, using machine learning technology to strengthen the classroom teaching environment and develop a scientific evaluation system for intelligent teaching ability [18]. The purpose of the research conducted by Liu, T. et al is to optimize the technical methods of scientific research and engineering practice, optimize the modern artificial intelligence teaching information system, analyze its detailed needs, and analyze and update the business processes of the main modules of the website [19].…”
Section: ) Research On Artificial Intelligence Technology and Teachingmentioning
confidence: 99%
“…Studies have shown that the application of science and technology can cause changes in six elements of teaching design, such as teaching objectives, teaching objects, and teaching content [17]. Wang, R. et al believe that artificial intelligence technology is an important technology for intelligent school teaching innovation, taking the American school teaching application as an example, using machine learning technology to strengthen the classroom teaching environment and develop a scientific evaluation system for intelligent teaching ability [18]. The purpose of the research conducted by Liu, T. et al is to optimize the technical methods of scientific research and engineering practice, optimize the modern artificial intelligence teaching information system, analyze its detailed needs, and analyze and update the business processes of the main modules of the website [19].…”
Section: ) Research On Artificial Intelligence Technology and Teachingmentioning
confidence: 99%
“…Wu, S et al mainly formulated a flipped course model for teaching listening and speaking in English majors based on artificial intelligence and put the model into practice, proving through experimental comparison that the proposed English flipped course can improve students' English performance to a certain extent with higher self-learning ability [11]. Wang, R et al argued that AI is an important force in driving teaching and learning reforms and used internet data mining to study academic governance as well as teaching and learning management of teaching in AI technologies at research universities in the United States [12]. Guo, J et al task English curriculum is both the core of English education and also the specific embodiment of the value of English education, focusing on the analysis of the development of English teaching in practice, the reform path of the development of English teaching and learning to sort out [13].…”
Section: Introductionmentioning
confidence: 99%
“…Pingfang Wang. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14] …”
mentioning
confidence: 99%
“…e development of information technology and articial intelligence has brought new opportunities to the prediction and research of water use structure [8][9][10][11][12][13][14][15]. West and Dellana [16] carried out an empirical analysis of neural network memory structures for basin water quality forecasting.…”
Section: Introductionmentioning
confidence: 99%