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TopWith the rapid development of hardware performance, AI is undergoing a revolutionary change. “Artificial intelligence” is a brand-new concept, and the reading database based on artificial intelligence can better apply the existing “artificial intelligence technology” to the field of reading, which has attracted extensive attention in academia and industry at home and abroad. Many scholars and research institutions are carrying out research and have achieved many important research results in computer-aided reading, expert systems, aided design, intelligent management, automation, etc. (Gong, 2018).
Donepudi et al. (2020) plan to build a library digital resources promotion system. They believe that it is necessary to scientifically design the overall framework and functions of the system on the basis of artificial intelligence technology. The service measures of library digital reading promotion resource system based on artificial intelligence technology mainly include pushing personalized reading resources and providing intelligent agent services (Donepudi et al., 2020). Borges et al. (2021) think that from some current research, it can be predicted that AI may develop fuzzy processing, parallelization, neural network, and machine emotion in the future.Qianjing and Lin (2021)think from the angle of AI that a machine with the following typical abilities can be regarded as “intelligent” ability to classify various patterns and change its own behavior: the ability to learn, the ability to induce and reason, the ability to generalize, the ability to deduce and reason, the ability to form a conceptual model, and the ability to understand it by using this model (Qianjing & Lin, 2021). Zhang and She (2021) and others put forward the Folin-Wu method, generalized intelligent information system theory, information-knowledge intelligent transformation theory, all-information theory, and pan-logic, which are proved by machine theorem, in the research of theoretical methods, and developed distinctive technologies. Liang et al. (2023) put forward the “emotional adaptation model of knowledge expression.” The computer provided candidate models, and people made emotional choices . Satisfactory information models can be effectively established through learning in complex situations (Liang et al., 2023). Ballamudi (2019) has created the methodology of information science and the information conversion mechanism of refining knowledge from information and creating intelligence from knowledge.
To improve the quality of English teaching, Zhu (2021) researched English teaching in artificial intelligence from a theoretical perspective. Through literature research, Zhu found the matching point between constructivism theory and artificial intelligence-assisted teaching, and used the second language acquisition theory and communicative teaching method to summarize the language acquisition process assisted by artificial intelligence.
English reading plays an important role in promoting oral English skills and comprehensive English ability. In order to change the shortcomings of traditional education, Meng et al. (2021) combine the spoken language spectrum algorithm to build the system. The contribution of Oktradiksa et al. (2021) is to take advantage of artificial intelligence (AI), which is used to increase creativity skills in the era of society 5.0. Artificial intelligence enables machines to learn from experience, adapt to new inputs, and perform human-like tasks (Oktradiksa et al., 2021). Rusmiyanto et al. (2023) did a literature review to investigate the function of AI in the development of communication skills in English language learners. The contribution of Rusmiyanto et al. (2023) is to look at the existing research and literature on the use of AI-based technologies in English language learning environments.