Students’ Perception towards the Strategies Used by the Teacher in Teaching English Using Virtual Learning Platforms

Shaleha, Adya Juniar; Junaid, Rusdiana; Musliadi,

doi:10.32996/ijels.2022.4.3.11

Cited by 2 publications

(1 citation statement)

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“…English teaching in China aims to teach English by developing students' language practice and application skills, cultivating their personality, improving their social adaptability, and promoting technological innovation and multidisciplinary talent development. The advanced concept of STEAM should be organically integrated into English teaching activities to help students connect and integrate knowledge from different disciplines and better master the theoretical concepts and core knowledge of each discipline [7][8].…”

Section: Introductionmentioning

confidence: 99%

STEAM Education Concept in English Teaching Practice Process Based on Big Data Evolutionary Network Influence Analysis

Guo

2023

ICST Transactions on Scalable Information Systems

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INTRODUCTION: English language teaching in China is primarily traditional test-based education. Few teachers customize teaching activities according to the content and students' characteristics, which results in students' low interest in learning English and reduces their understanding and application of knowledge to the point that their speaking skills are generally weak. English is different from Chinese in that it combines skills and practice and covers a wide range of knowledge. It is a subject category that combines general knowledge of life with theoretical knowledge. Although it is only a language subject, in the process of learning it, students can also learn the human background, customs, history and culture of foreign countries, enriching their understanding of world culture. OBJECTIVES: Organic combination of the STEAM model and English teaching can promote academic innovation, on the one hand, to enhance learning hobbies from the aspect of learning needs and to cultivate students' comprehensive literacy, and on the other hand, the innovation of practice and concepts can enhance students' practical ability and innovation ability. METHODS: This study is based on big data evolutionary network influence analysis of STEAM education concept in English teaching time process analysis of students in the classroom participation, interest in learning English and learning self-confidence and the phenomenon of mismatch between the students' learning foundation, to enhance the student's classroom participation, the interest in learning English and self-confidence, the students' comprehensive literacy, and the acquisition of English language skills. RESULTS: STEAM + ELT practices + interdisciplinary teaching can be realized by organically combining STEAM education concepts across multiple subject areas. CONCLUSION: Designing appropriate English teaching activities based on the STEAM education concept and applying the theory in actual teaching activities can achieve the expected results.

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Section: Introductionmentioning

confidence: 99%

STEAM Education Concept in English Teaching Practice Process Based on Big Data Evolutionary Network Influence Analysis

Guo

2023

ICST Transactions on Scalable Information Systems

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Intelligent Interactive System Design and Human-Computer Collaboration Mechanism for Virtual Teachers in English Language Education

Zhang,

Yan

2024

Applied Mathematics and Nonlinear Sciences

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The virtual teacher, as a product of the artificial intelligence era, can provide effective teaching services in the English education sink of colleges and universities. This paper builds up an intelligent interaction system for virtual teachers and proposes a human-computer cooperative mechanism for English education based on it. The function of the virtual teacher system is achieved through the use of human body movement and face reconstruction technology. The depth data of the human body is collected, a dynamic light projection algorithm reconstructs the 3D model of the human body movement, and the posture of the human body is weighted and matched by a multi-feature fusion algorithm. Kalman filter is used to obtain stable face expression data, and the Blendshape model is driven to generate expressions. Subsequently, the system application practice is carried out, and the reconstruction accuracy of various types of facial expressions of this paper’s face reconstruction technology is more than 90%, and the reconstructed human action matches the actual action to a high degree. The application of the human-computer cooperative mechanism of this paper’s English teaching effect is achieved by setting up experimental and control classes to carry out an empirical analysis of English teaching. The experimental class utilizing the human-computer synergistic mechanism shows a significant increase in the dimensions of motivation and learning experience compared with the experimental class (P<0.05).

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Students’ Perception towards the Strategies Used by the Teacher in Teaching English Using Virtual Learning Platforms

Cited by 2 publications

References 3 publications

STEAM Education Concept in English Teaching Practice Process Based on Big Data Evolutionary Network Influence Analysis

STEAM Education Concept in English Teaching Practice Process Based on Big Data Evolutionary Network Influence Analysis

Intelligent Interactive System Design and Human-Computer Collaboration Mechanism for Virtual Teachers in English Language Education

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