Factors Affecting the Performance of Students in the Computer Level II Examination in the College of Engineering, Guangzhou Institute of Business and Economics

In recent years, with the widespread use of AI, the informationization of higher education has made rapid progress.It has become a hot topic to use big data and AI to discover the problems that are not easily noticeable in the teaching process, and propose appropriate solutions to improve the quality of teaching. This paper takes the first-year freshmen of Guangzhou Institute of Commerce and Industry as the research object, and investigates the effects of students’ individual characteristics, family support, learning motivation, learning methods, school teaching quality, learning environment, social factors, learning resources and technology, learning attitudes and emotions, rewards and feedback, learning community and cooperation, school management and leadership, and social support on students’ performance in the National Computer Grade Examination.Data on exam results were collected through questionnaires, and several artificial intelligence algorithms were used to comprehensively analyze the effects of single, multiple, and combined factors on performance. The results of the study show that there is a positive correlation between students’ academic performance and the intensity of their curiosity; girls of average height tend to perform better academically than boys; students whose parents are more educated, value education, and invest heavily in education tend to perform better academically; students who grow up immersed in digital media show greater enthusiasm for learning; Students whose family members emphasize a balanced diet and physical fitness; students whose family members emphasize a balanced diet and good health also perform better academically; students who are able to adapt to a variety of teaching methods, use a variety of educational resources, and plan their learning process better; and students who are good at integrating a variety of educational resources and learning strategies also show higher levels of academic achievement. This study provides direction for educators and effective strategies for improving student performance on computer-based tests.