The reading scope of university English reading is constantly expanding, and the teaching content is gradually increasing. Students are unable to grasp the article’s ideas while reading, resulting in an incorrect understanding of the article and the selection of incorrect topics. In English reading, teachers should begin by broadening students’ knowledge, increasing the number of new words they learn on a regular basis, gradually building reading experience, and improving reading efficiency. Data mining (abbreviated as DM) is a method of extracting hidden, unknown, but potentially useful information and knowledge from a large amount of incomplete, noisy, fuzzy, and random practical application data. Based on student behavior DM and mobile edge computing, this paper investigates strategies to improve the efficiency of university English reading instruction. Teachers and students can interact more easily with the help of university English reading teaching based on student behavior DM, and good interpersonal interaction can help students better understand and master the language. It is also beneficial for teachers to provide more tailored guidance for students’ individual university English reading teaching levels and learning abilities, as well as to assist them in developing personalized efficiency improvement strategies. The goal of DM student behavior is to discover knowledge, mine information, and apply rules without making any assumptions, with unknown, useful, and effective results.
In today’s era of rapid development of science and technology, people want to have more portable devices for learning and work in life and study. For this, an English learning system based on Android is proposed. This article first introduces the relevant technologies of the Android system and gives a detailed introduction according to the characteristics, architecture, development type, life cycle, network communication technology, and database technology of the Android platform and studies the functional requirements and overall architecture design of the English learning system. The detailed design and development of the user management module, online examination module, online word search module, and online video module are carried out in accordance with the functional requirements, and the detailed design and implementation methods of the user management module, online examination module, online word search module, and online video module are designed. It is tested proof that the Android-based English learning system has user learning.
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