Exploration of the Application of Artificial Intelligence in the Intelligent Evaluation System of Information and Innovation Education
DOI: 10.23977/acss.2023.071013 | Downloads: 12 | Views: 227
Author(s)
Tingting Ban 1, Fan Zhang 1, Yu Su 1
Affiliation(s)
1 College of Information Engineering, Zhengzhou University of Technology, Zhengzhou, Henan, China
Corresponding Author
Tingting BanABSTRACT
With the rapid development of artificial intelligence technology, its application in the field of education is becoming increasingly widespread. The Xinchuang Education Intelligent Evaluation System, as an important tool for educational informatization, integrates artificial intelligence technology into it, which helps to improve the quality of education, achieve personalized education and intelligent evaluation. This article provides an overview of the development history, main technologies, and application advantages of artificial intelligence technology, and explores the architecture design, key technology selection, and module division of the intelligent evaluation system for information and innovation education. At the same time, the application of artificial intelligence in the intelligent evaluation system of information and innovation education was analyzed, such as automatic scoring and evaluation, learning content recommendation and personalized learning, intelligent assisted teaching and learning, and student learning behavior analysis. Finally, corresponding solutions were proposed to address the challenges faced by artificial intelligence in the intelligent evaluation system of information and innovation education, such as data privacy and security issues, fairness and bias issues, human-computer interaction and user experience issues.
KEYWORDS
Artificial intelligence; Information and Innovation Education; Intelligent evaluation systemCITE THIS PAPER
Tingting Ban, Fan Zhang, Yu Su, Exploration of the Application of Artificial Intelligence in the Intelligent Evaluation System of Information and Innovation Education. Advances in Computer, Signals and Systems (2023) Vol. 7: 92-98. DOI: http://dx.doi.org/10.23977/acss.2023.071013.
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