Artificial Intelligence-Based English Vocabulary Test Research on Cognitive Web Services Platforms: User Retrieval Behavior of English Mobile Learning

Artificial Intelligence-Based English Vocabulary Test Research on Cognitive Web Services Platforms: User Retrieval Behavior of English Mobile Learning

Li Liao
Copyright: © 2023 |Pages: 19
DOI: 10.4018/IJeC.316656
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Abstract

Automated interaction between agents necessitates the ability of these agents to discover and select from a set of similar (or identical) services. As a result, trust is used to assess the quality of different cognitive web services. Therefore, this paper proposes artificial intelligence-based English vocabulary test research (AI-EVTR) to overcome the student's requirement. Further, pre-test behavior analysis has been introduced to enhance the apps. Before and after the test period, both groups took a pre-test behavior analysis and post-test log analysis “Vocabulary Test in English.” The experimental group used an app-assisted English vocabulary questionnaire to share their points; they were not extremely motivated in the app-assisted approach using machine learning. Statistical approaches comprising independent samples were used to analyze the acquired data. The experimental group greatly improved between the pre-test and post-test in spelling. Language learning on the website can be an option.
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Overview Of The Artificial Intelligence-Based English Vocabulary Test Research

The enhancement in modern society depends on computer technology, which plays an important role in every human area, guaranteeing that knowledge is disseminated worldwide. Telephones, smartphones, and tablets play an important role in digital human lives. Mobile devices are gaining new technical capabilities due to technology breakthroughs. In addition, the speed and reliability of the data transfer in wireless channels have increased (Amudha et al.2021). In addition, the field of linguistics is strongly affected by information technology. In the past, IT was not necessary to teach English; it is important to know it for linguistics and instructors now (Shakeel et al.2020). Furthermore, the factors of this study suggest that the artificial intelligence-based English Vocabulary Test Research curriculum may be able to help students of English based on cognitive web services more generally. A better understanding of second language acquisition and teaching processes can begin with this architectural design.

Students and language trainers confront various obstacles in teaching English (Pham et al.2020). These are technological as well as instructional concerns. In particular, it takes time for communication and grammar skills to be developed (Gao et al.2020). Additional electronic education technologies such as mobile applications will be used as one solution (Manogaran et al.2018). Technical aspects of mobile devices: speed, trustworthiness, modernism. Nearly everyone, including small children, has them. This is an excellent tool for Internet access; not everyone exploits this chance (Elgendy et al.2021). However, Smartphone and tablet classes are nowadays extremely widespread (Jan et al.2020). Many English teaching approaches are currently implemented using mobile and interactive technologies (Gunasekaran et al.2018).

In globalization and internationalization, English is becoming more and more vital. With smartphones and wireless networking tests, emerging education approaches can be built (Shakeel et al.2018). The proposed strategy promotes efficient learning while encouraging pupils to research hypotheses and establish their terminology (Ranjan et al.2020). Apps on mobile devices are predicted to lead to lifelong education. The application is short, which signifies a program fora certain task (Gao et al.2020).Learners can work at their own pace with AI-powered language learning platforms, repeating topics and emphasising things they're struggling with, trying to engage them with the tasks they're most proficient at, appealing to their preferences with machine learning, and taking into consideration such variables as cultural influences based on cognitive web services.

Application of mobile devices can download and utilize software devices for a free charge through the wireless network at the mobile app store. Mobile app shops feature proprietary software that provides fast accessibility to the app with a single touch, making it handier than website content and exploring and shopping via web browsers, such as shopping sites (Abdel-Basset et al.2019).

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