Research on the Strategy of Autonomous Learning under the Dual-Class Model of Ideological and Political Courses Based on the Knowledge Map Route

Shi, PeiShuang

doi:10.1155/2022/2854233

Cited by 3 publications

(3 citation statements)

References 10 publications

(6 reference statements)

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“…Still, these approaches are not effective [17]. A transmission pathway is the method or route via which information and technology reach the end user [18]. A route may be seen from two perspectives: as the method by which RNR consumers seek for theoretically useful data, and as the means by which scientists communicate their findings [19].…”

Section: Introductionmentioning

confidence: 99%

Language Dissemination Paths and Modes Aided by Computer Technology

Yanghong Wu

2024

jes

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The expansion of technology and computer science, as well as advancements in language instruction and learning methodologies, has enabled computer-assisted language learning technologies to tackle this challenge. In the field of Chinese learning, a few language learning computerized systems in the country and abroad concentrate mainly on language, grammar acquisition only have one or two assessment indicators as basis of evaluation, that definite functional flaws provide a general assessment to learners' pronunciation. In this manuscript, Language Dissemination Paths and Modes Aided by Computer Technology (LDPM-QICCNN-KOA) are proposed. The input data are collected from Chinese Corpus dataset. Then the data is given into unscented trainable kalman filter for preprocessing the input data. Then the preprocessed data are provided to QICCNN for Language Dissemination. In general, the based Quantum-inspired Complex Convolutional Neural Network doesn’t express adapting optimization approaches to determine optimal parameters to ensure exact identification. Hence, KOA utilized to enhance Quantum-inspired Complex Convolutional Neural Network, which accurately done the Language Dissemination Paths and Modes. The proposed LDPM-QICCNN-KOA method is executed on python. Then performance of proposed technique is analyzed with other existing methods. The proposed technique attains 26.36%, 20.69% and 35.29% higher accuracy; 19.23%, 23.56%, and 33.96% higher F1-Score; 26.28%, 31.26%, and 19.66% higher precision when comparing with the existing methods such as research on network oral English teaching system depend on machine learning (LDPM-DBN), nonlinear network speech recognition structure in deep learning algorithm (LDPM-DNN), research on open oral English scoring system depend on neural network (LDPM-BPNN).

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Section: Introductionmentioning

confidence: 99%

Language Dissemination Paths and Modes Aided by Computer Technology

Yanghong Wu

2024

jes

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“…Learners can control their behavior and change their learning methods through autonomous learning. They can also get feedback on their learning activities, review their results, and reach their expected learning goals [17]. This study would have focused on understanding teachers' teaching objectives and requirements related to autonomous language learning [18], setting up learners' objectives and study plans for autonomous language learning [19], and determining learners' practices in writing class on their own.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Blended Learning on EFL Students’ Perception of Autonomy and Writing Achievement

Heriyawati,

Ismiatun,

Octaberlina

2023

Advances in Social Science, Education and Humanities Research

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This study seeks to investigate the perceptions of EFL students regarding the use of blended learning to promote autonomous learning in English language teaching, particularly in the writing class, and the extent to which teachers foster students' autonomy. Twenty students were given a questionnaire as participants in this investigation, and the participants were chosen based on their performance the writing class. In addition, two students from the class were interviewed in order to collect the supplementary data related to the autonomy enhancement. According to the findings, although students held positive beliefs about autonomous learning, they still lacked an adequate understanding of autonomous learning concepts. Regarding exposing students to autonomous learning, teachers are extremely motivated. When enrolled in an online class, students feel free to explore their ideas in writing, whereas they feel at ease engaging in discussion with the teachers and classmates in offline classes. This study concludes with recommendations for teachers and programs of teacher education. In addition, the study elaborates on the value of implementing blended learning to improve learning autonomy and achievement, particularly in writing classes.

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“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

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confidence: 99%

Retracted: Research on the Strategy of Autonomous Learning under the Dual-Class Model of Ideological and Political Courses Based on the Knowledge Map Route

Computing¹

2023

Wireless Communications and Mobile Computing

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Research on the Strategy of Autonomous Learning under the Dual-Class Model of Ideological and Political Courses Based on the Knowledge Map Route

Cited by 3 publications

References 10 publications

Language Dissemination Paths and Modes Aided by Computer Technology

Language Dissemination Paths and Modes Aided by Computer Technology

The Impact of Blended Learning on EFL Students’ Perception of Autonomy and Writing Achievement

Retracted: Research on the Strategy of Autonomous Learning under the Dual-Class Model of Ideological and Political Courses Based on the Knowledge Map Route

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