Exploration and Practice of Online Information Teaching Model Based on Big Data and Artificial Intelligence Decision Making
Author Names:
Shunli Zhang
Author Affiliation:
School of Marxism, Jiaozuo University, Jiaozuo, China
Author Email:
shunli_zhang@outlook.com
Publication Date:
April 24, 2026
Page numbers:
DOI Number:
https://doi.org/10.1177/14727978251358687
Abstract:
Due to the new crown pneumonia outbreak in 2019, many schools are unable to teach online, which stimulates the birth of a new teaching model in the education industry. Online teaching has developed by leaps and bounds with the rapid development of information technology. Information-based teaching is a way to enhance student learning from the learning environment. There are many factors that influence the learning environment, including the classroom teaching scenario, cooperation between teachers and students, and communication in the classroom. In the teaching process, the teaching mode has changed from the traditional teacher-teaching-student-learning fill-in-the-blank teaching to the independent acquisition of knowledge by students. In order to investigate the current status of teaching informatics on the Internet, we chose a university in city A as a research object to investigate the current status of teaching informatics in its online philosophy department. At present, information technology teaching in China is still in a backward state. The current situation of information-based teaching in China is (1) the lack of information-based teaching resources and the lack of standardization in the use of resources. (2) Lack of awareness of online information teaching. In order to promote the level of online information-based learning of our schoolchildren from a comprehensive perspective, and in response to the drawbacks of online information-based teaching in China found in the above experimental survey, we propose an online information-based learning model based on big data and artificial intelligence decision-making to enhance students’ learning interest through an interesting learning model. After experimental verification, it can be concluded that our proposed model can significantly improve students’ behavioral performance and learning ability, and has a certain role in enhancing students’ learning effectiveness. Finally, we make recommendations based on the current state of application of big data and artificial intelligence in online informatics teaching. The recommendations are to improve the current situation of information-based teaching on the one hand to improve the quality of information-based resources, which requires the joint gate-keeping of the government, schools and teachers. On the other hand, the information technology literacy of teachers should be improved.
Keywords:
artificial intelligence decision-making, big data, online informatization, teaching mode
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