Proceedings of the
The Nineteenth International Conference on Computational Intelligence and Security (CIS 2023)
December 1 – 4, 2023, Haikou, China
Research on Application and Optimization Path of Intelligent Technology in Precision Teaching
College of Marxism, Dongguan City University, China.
ABSTRACT
This article explores the application, challenges, and optimization strategies of intelligent technology in precision teaching in universities. Initially, we highlight the extensive prospects of intelligent technology in higher education and analyze the associated problems and challenges it faces. These include concerns such as privacy security, algorithmic biases and fairness, technical feasibility and adaptability, as well as human-computer interaction and user experience. To address these issues, several optimization paths are proposed. Firstly, establishing an evaluation index system is recommended to accurately measure teaching effectiveness. Secondly, developing teacher training and support strategies aims to enhance teachers' proficiency in utilizing intelligent technology. Furthermore, promoting student engagement and interactive teaching methods stimulates their interest and proactiveness in learning. Lastly, researching the correlation between intelligent teaching methods and teaching quality allows for the optimization of instructional effectiveness. Through in-depth research and practical implementation of these optimization paths, we can effectively enhance the application of intelligent technology in precision teaching in universities.
Keywords: Intelligent technology, Precision teaching, Challenges, Optimization strategies, Universities, Evaluation index system.
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College of Marxism, Dongguan City University, China.
ABSTRACT
This article explores the application, challenges, and optimization strategies of intelligent technology in precision teaching in universities. Initially, we highlight the extensive prospects of intelligent technology in higher education and analyze the associated problems and challenges it faces. These include concerns such as privacy security, algorithmic biases and fairness, technical feasibility and adaptability, as well as human-computer interaction and user experience. To address these issues, several optimization paths are proposed. Firstly, establishing an evaluation index system is recommended to accurately measure teaching effectiveness. Secondly, developing teacher training and support strategies aims to enhance teachers' proficiency in utilizing intelligent technology. Furthermore, promoting student engagement and interactive teaching methods stimulates their interest and proactiveness in learning. Lastly, researching the correlation between intelligent teaching methods and teaching quality allows for the optimization of instructional effectiveness. Through in-depth research and practical implementation of these optimization paths, we can effectively enhance the application of intelligent technology in precision teaching in universities.
Keywords: Intelligent technology, Precision teaching, Challenges, Optimization strategies, Universities, Evaluation index system.
Download PDF