Research on the practice of college English classroom teaching based on Internet and artificial intelligence

Yun-jie, Jia

doi:10.3233/jifs-219121

Cited by 33 publications

(28 citation statements)

References 20 publications

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“…In this unprecedented era of change, English classroom teaching faces many difficulties and many opportunities. In the actual education and teaching reform work, we must pay attention to the classroom, take the classroom as the main position of teaching and the main battlefield of teaching research, and study how to evaluate the quality of English classroom teaching [11][12][13][14][15]. According to the literature [16][17][18], which summarized the previous studies, teachers' organizational skills, instructional style, and classroom management skills should be evaluated.…”

Section: Introductionmentioning

confidence: 99%

Optimization of English Classroom Quality Evaluation Model with AHP

Shuang

2022

Security and Communication Networks

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This work takes English classroom quality as the research object. Improving the quality of English classrooms is not only an unavoidable requirement for the current curriculum reform’s deepening and development, but also a necessary development trend of the evaluation system reform, and the call of the majority of classroom teaching position. The country invested financial, labor, and material resources, and students have also invested a lot of study time, but the English classroom effect is not satisfactory. The main issue is a lack of adequate evaluation of the teaching process as well as a scientific, fair, and practical technique for assessing classroom quality. This work combines AHP and BP networks to propose a method (AHP-IGA-BP) for evaluating the quality of English classrooms. The content of this work is as follows: (1) A hierarchical model and index system for English classroom quality evaluation based on AHP are constructed. Through the process of constructing a judgment matrix, single-level ranking, consistency check, and total-level ranking, the complete English classroom quality evaluation index weight is finally obtained, which realizes the transformation of subjective information into data with specific weight. (2) combine the original data with the aforementioned index weight data produced using AHP, as well as the neural network’s learning and training samples. Build a BP network structure to effectively evaluate the quality of English classrooms. (3) The BP network is optimized based on the improved GA algorithm.

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Section: Introductionmentioning

confidence: 99%

Optimization of English Classroom Quality Evaluation Model with AHP

Shuang

2022

Security and Communication Networks

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“…Not only can it use AI-based English applications, but the use of other technologies such as Virtual Reality (VR) can also be one of the mediums that can be used in developing English language learning, Lia Ma's research reveals that integrating constructivism theory and virtual reality technology to educate the immersive context of English college can indeed boost students' English levels. [27]. Then, in other studies, the use of AI in the form of virtual assistants, such as Lyra Virtual Assistant is effective in speaking exercises [28].…”

Section: Discussionmentioning

confidence: 99%

The Use of Ai (Artificial Intelligence) in English Learning Among University Student: Case Study in English Department, Universitas Airlangga

Dewi¹,

Putri²,

Rahim³

et al. 2021

Preprint

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Aim: This research aim is to analyze an artificial intelligence platform that can be used in imparting education as well as evaluating student performance. Method: This research was conducted with a qualitative method by conducting in-depth interviews and a literature study. Results: The findings of this study shows that Artificial Intelligence technology can be used as a means of developing English learning for students. Discussion: There have been several studies that support research results, that AI can be used to improve students' English skills through applications, websites, Virtual Reality technology, and other AI-based learning and teaching systems. Limitation: The limitation of this research is that it does not examine how far the role of AI in students' English learning is. Suggestion: For further research, it is expected to test how far the role of AI is to improve students' English skills, especially Universitas Airlangga students.

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“…In the second principle, future English instructors must continue to develop their talents in the integration of educational resources, creative educational integration, and the development of learning activities. During college English classroom instruction, professional-quality enhanced performance and identity of personality attraction and actively responded to the era of AI [19]. This study will investigate the significance of AI technology and its natural language comprehension techniques and the benefits of AI in the area of education.…”

Section: Relative Workmentioning

confidence: 99%

Recommendation of English Reading in Vocational Colleges Using Linear Regression Training Model

Hai-bo

2022

Mobile Information Systems

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High-quality vocational education is a vital basis for China’s efforts to develop high-quality teachers and technical and skilled workers. The increasing development of contemporary vocational education is given higher importance in the new era. We proposed the stick to moral education while carefully integrating it with the requirements of changes in technology and modernization, continuous improvements in the quality of college vocational education, and the development of more conceptual and skilled talented individuals with both political integrity and the capacity to build modernization. Using artificial intelligence technology to challenge these difficulties in the context of social informatization can play important role in enhancing the teaching quality of high vocational education. With the advent of the Internet era, students and parents have an increasingly strong demand for online independent vocational English reading materials, although there is some English learning software that provides online vocational English reading materials in the education market. However, most of this software only changes the reading form of paper vocational English reading materials but fails to completely meet the real demand of students for vocational English reading materials, so how to carry out personalized recommendation reading according to the real reading situation and reading preferences of students is a vital problem to be resolved. In this background, this paper studies the personalized recommendation technology, in the use of recommendation algorithms on the based association rules to obtain higher vocational English reading content recommended the strongest association rules, on the based combination of user-based collaborative clarifying recommendation algorithm. The linear regression model combined with the users reading interest and personalized recommendation of higher vocational English reading process is optimized, improving the accuracy of English reading recommendation in vocational colleges.

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Research on the practice of college English classroom teaching based on Internet and artificial intelligence

Cited by 33 publications

References 20 publications

Optimization of English Classroom Quality Evaluation Model with AHP

Optimization of English Classroom Quality Evaluation Model with AHP

The Use of Ai (Artificial Intelligence) in English Learning Among University Student: Case Study in English Department, Universitas Airlangga

Recommendation of English Reading in Vocational Colleges Using Linear Regression Training Model

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