College students’ English networks rely on independent learning studies, but students often misjudge their own abilities. When applied to the English-speaking network of university students, the conventional ant colony algorithm fails miserably in its attempt to resolve the issue of network self-learning. As a result, this article reviews previous work on the topic and suggests future research directions for studying the English network self-learning of college students using the ID3 algorithm. To lower the interference factors in self-learning research, first we use information theory to find the influencing elements, and then we split the indicators according to the needs of self-learning research. Next, an independent learning study scheme of the ID3 algorithm is formed using information theory, the ID3 algorithm outperforms it under certain assessment criteria, including those pertaining to the speed and accuracy of self-learning research.