Integration of University Foreign Language Teaching and Multimedia Resources in Artificial Intelligence Vision

Lin, Ruirui

doi:10.1145/3482632.3483117

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…It makes use of previous research findings. Teachers and educators alike are likely to embrace multimedia education as part of the national curriculum reform process [10].…”

Section: Related Workmentioning

confidence: 99%

Computer-Aided College English Teaching System Based on Virtual Reality and Artificial Intelligence

Wang

2022

Wireless Communications and Mobile Computing

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People are realizing that linguistic competence is a vital aspect of communicative competence as language study and instruction have progressed. Grammar instruction is not only important but also the primary means of achieving communication skills in foreign language classes. This article focuses on the computer vision and machine learning-based virtual reality technology college English immersive context teaching approach. The goal is to increase pupils’ capacity to learn English. The experimental groups used VR innovation immersive environment education from the standpoint of constructivist theory in a compared teaching experiment with 2 classifications of freshman at a university, while the control class used standard multimedia equipment and conventional teaching techniques. Students only passively acquire a lot of material from instructors in the class, they have limited opportunity to engage in the exchange of information and express thoughts in the chosen language, and they are “immersed” in the Chinese environment most of the time. With an average score of 2.8 points higher than the control group, the overall English level was likewise higher. English teaching system based on computer big data method, optimization of oral English teaching system based on computer-aided technology, and artificial intelligence are the existing methods used for comparison. This demonstrates that using constructivism theory and virtual reality technology in college English immersing contextual education may genuinely increase students’ English levels.

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“…It makes use of previous research findings. Teachers and educators alike are likely to embrace multimedia education as part of the national curriculum reform process [10].…”

Section: Related Workmentioning

confidence: 99%

Computer-Aided College English Teaching System Based on Virtual Reality and Artificial Intelligence

Wang

2022

Wireless Communications and Mobile Computing

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“…The subsequent phase involves crafting the architecture of neural networks designed to scrutinize student achievement data and adapt the learning environment. This intricate task demands an iterative approach, where the selection of appropriate machine learning algorithms and the precise definition of input and output data for the system are paramount [6][7][8]. Ensuring the neural network's proficiency in accurately analyzing and responding to student actions necessitates extensive training on substantial datasets reflective of students' performance [9].…”

Section: Introductionmentioning

confidence: 99%

Design of Neural Network-based Online Teaching Interactive System in the Context of Multimedia-assisted Teaching

Cheng,

Yang,

Luo

2024

IJCAI

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As the pace of global integration increases, so does the demand for English language courses. Due to the scarcity of English-language learning resources in China, students of the language often need help to improve their spoken English. Advances in artificial intelligence technology and language education approaches have created an entirely novel phase of language teaching and learning. To solve this issue, we can employ deep learning (DL) technology. Speech recognition software is the foundation of verbal communication instruction and is also used as an evaluation tool. More hardware, software, and algorithms are needed to analyze speech signals because of the complexity of speech pronunciation variations, the quantity of speech signal data, a amount of speech characteristics parameters, and the size of speech gratitude and assessment computation. However, it is challenging to increase the precision and speed of conventional speech recognition algorithms since they have run across previously unheard-of bottlenecks. This article focuses on examining the impact of college English multimedia instruction in order to address these issues. The EMLP-SNN technique, which improves multilayer perceptron integration with spiking neural networks, is suggested for identifying oral English pronunciation. The results of the experiments demonstrate that the proposed algorithm has provided an accuracy of 97.5%, which can help students identify discrepancies between their pronunciation and the norm and fix pronunciation mistakes, leading to enhanced oral English learning performance. Povzetek: Raziskava uvaja EMLP-SNN tehniko za izboljšanje identifikacije angleške izgovorjave s 97,5% točnostjo, kar omogoča študentom izboljšanje učenja govornega angleškega jezika.

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“…The integration between multimedia technology and teaching is not only needed by current teaching, but also a demand by education development and reform. Lin [20] explored the integration of multimedia resources in college English teaching from the angle of artificial intelligence (AI). Firstly, the teaching features in the context of AI were analyzed, and the AI applications in college teaching were summarized.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Measurement of Student Satisfaction with Online Learning Under Integration of Teaching Resources

Wang¹

2022

Int. J. Emerg. Technol. Learn.

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The effective organization and integration of educational resources can solve the information confusion in online learning, and assist online teaching platforms in recommending multisource personalized learning resources. After the integration of teaching resources, the student satisfaction with online learning should be evaluated, setting the stage for the management and application of teaching resources, as well as the improvement of online teaching quality. Therefore, this paper evaluates and measures student satisfaction with online learning under the integration of teaching resources. Specifically, the name and descriptive features of the Japanese teaching resource library were extracted by the linguistic model, the class structure features and relationship attribute features of the library were learned by graph convolutional neural network (GCNN), and the corresponding eigenvectors were obtained. Next, the similarity of different features was calculated, the teaching resources were sorted, and the matching resources were selected, completing resource integration. After feature integration, the student satisfaction with online learning was evaluated, and a structural equation model (SEM) was established for the student satisfaction with online learning under the integration of teaching resources. The effectiveness of our model was proved through experiments.

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Integration of University Foreign Language Teaching and Multimedia Resources in Artificial Intelligence Vision

Cited by 4 publications

References 10 publications

Computer-Aided College English Teaching System Based on Virtual Reality and Artificial Intelligence

Computer-Aided College English Teaching System Based on Virtual Reality and Artificial Intelligence

Design of Neural Network-based Online Teaching Interactive System in the Context of Multimedia-assisted Teaching

Evaluation and Measurement of Student Satisfaction with Online Learning Under Integration of Teaching Resources

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