Design of the In-depth Intelligent Learning System Based on the College English Teaching

Ruan, Rongrong

doi:10.1007/978-981-13-3648-5_86

Cited by 2 publications

(2 citation statements)

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“…In another group of students, they not only can answer the teacher's questions well but also can connect the learning content with the previous learning content so that the old knowledge can be transferred and applied. en, according to this experiment, the two scholars put forward relevant concepts and compared deep learning with shallow learning [14]. is concept points out that according to the differences in the construction methods of students' knowledge, there are obvious differences in the construction results.…”

Section: Research Status Of Deep Learningmentioning

confidence: 99%

Systematic Mode Construction of Mixed Teaching from the Perspective of Deep Learning

Zhao

2022

Mathematical Problems in Engineering

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Deep learning will be one of the key technologies to promote learning in the next five years. With the rapid advancement of the information era, significant changes in students’ learning and thinking patterns have occurred. How to further encourage the development of students’ professional skills and innovative capacity has become the focus of society under the influence of the notion of deep learning. With the application of information technology in education, blended learning, as the only key trend mentioned in the new media alliance report for five consecutive years, has injected fresh vitality into the reform of traditional classrooms and laid a foundation for better promoting in-depth learning. Therefore, how to effectively use blended learning to change these phenomena has become an urgent problem to be solved. The goal of this research is to encourage pupils to learn in depth. This study specifies the design idea of a hybrid teaching mode supported by an information environment based on the promotion of high-order thinking capacity. Firstly, this study uses the literature research method to sort out the relevant literature on deep learning and hybrid teaching, which provides a theoretical basis for the later construction. Second, a questionnaire is utilized to assess the existing state of in-depth learning as well as the need for blended teaching. The mixed teaching mode has effectively promoted the development of students’ high-level thinking abilities such as autonomous learning, problem-solving, and application innovation; played a positive role in cultivating students’ in-depth learning; and finally won the unanimous recognition of students.

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Section: Research Status Of Deep Learningmentioning

confidence: 99%

Systematic Mode Construction of Mixed Teaching from the Perspective of Deep Learning

Zhao

2022

Mathematical Problems in Engineering

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“…Ruan, R argued that the current English language teaching still retains the traditional teaching mode. For the disadvantages of the traditional English language model, a new teaching mode is proposed, using big data technology and the related neural network to construct a deep, intelligent learning system for the English language in colleges and universities [13]. Stoyanova-Doycheva, A et al in order to improve the English language education's effectiveness, an intelligent English teaching system to teach students intelligently in a targeted way by setting up a database of questions created by the teacher and accessing the graphical interface of the application [14].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Technology Boosts the Construction of English Intelligent Teaching Mode in Colleges and Universities

Zhang

2023

Applied Mathematics and Nonlinear Sciences

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With the goal of improving the teaching effect of English in colleges and universities, this paper combines artificial intelligence technology with teaching and constructs an English-intelligent tutoring teaching model. By analyzing the main forms of artificial intelligence in the field of teaching, the advantages of intelligent teaching mode in college English teaching are explored from personalized teaching as well as teaching effect. Combining the RBF neural network to analyze the students’ learning data, the function approximation principle and interpolation method are used to improve the accuracy of the analysis of the students’ data. Using the form of network topology, the information transfer process in English intelligent teaching is explored. To improve the classification of students’ abilities and the prediction of their grades, judgment trees are added to the network. The English Intelligent Assisted Teaching model was applied to teaching to explore its feasibility and effectiveness. The results show that students’ satisfaction with personalized teaching is 0.85, and their satisfaction with personalized evaluation is 0.8. The students’ translation ability under the English Intelligent Assisted Teaching Model has improved more, from 75 to 90.

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Design of the In-depth Intelligent Learning System Based on the College English Teaching

Cited by 2 publications

References 0 publications

Systematic Mode Construction of Mixed Teaching from the Perspective of Deep Learning

Systematic Mode Construction of Mixed Teaching from the Perspective of Deep Learning

Artificial Intelligence Technology Boosts the Construction of English Intelligent Teaching Mode in Colleges and Universities

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