An Immersive Context Teaching Method for College English Based on Artificial Intelligence and Machine Learning in Virtual Reality Technology

Ma, Li

doi:10.1155/2021/2637439

Cited by 58 publications

(56 citation statements)

References 26 publications

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“…It can not only deepen the memory of knowledge but also cultivate rich 3D reconstruction capabilities. It is generally difficult to make 3D models [ 28 ]. The staff summarized several conclusions about the application of VR technology in medical education: (1) It improves the intuition and interest of medical knowledge, and interest is a factor of student enthusiasm and initiative.…”

Section: Experiments and Analysismentioning

confidence: 99%

The Role of Three-Dimensional Reconstruction of Medical Images and Virtual Reality in Nursing Experimental Teaching

Zhu

Zhao

et al. 2022

Journal of Healthcare Engineering

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With the continuous advancement of medicine and computer science, medical image processing technology is also constantly advancing, and at the same time, it puts forward the needs of its own development. The purpose of this article is to combine the three-dimensional reconstruction of medical images and virtual reality (VR) technology in nursing experiment teaching to help students understand more easily and to simplify the teachers’ teaching process and make the VR application technology. It is the most popular and effective in medical teaching. This article proposes the C-V model and the geometric active contour model to help us more clearly understand the pathology in this environment, where the specific symptoms appear, and bring a more easy-to-understand model for teaching and improving teaching quality. This article also designs nursing experiment teaching. The experimental results of this paper show that, after using VR courseware for teaching, the optimal test rate of the experimental class is 15% higher than that of the control class, and the transition rate is 8%. The actual test excellent rate and success rate of the experimental class are much higher than those of the control class. Therefore, it can be concluded that the application of VR technology in nursing teaching helps teachers improve their practical ability. The excellent teaching feedback rate is 95%, which is higher than 80.5% in the control group, indicating that the patient teaching simulation is approved by the observation group. The program can effectively improve the feedback rate of excellent teaching and provide students with better teaching services.

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Section: Experiments and Analysismentioning

confidence: 99%

The Role of Three-Dimensional Reconstruction of Medical Images and Virtual Reality in Nursing Experimental Teaching

Zhu

Zhao

et al. 2022

Journal of Healthcare Engineering

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“…All studies reported positive effects of AI in general (see Appendix). Specifically, studies found (1) comprehensive improvement of student's English level (e.g., Bin & Mandal, 2019;L. Ma, 2021), (2) proven usability and suitability of the platform/interface (e.g., Li, 2017;Yuan, 2021) 16) improvement in accuracy of facial recognition (e.g., Y.…”

Section: State Of Current Research On Ai In Eltmentioning

confidence: 99%

A Systematic Review of Research on the Use of Artificial Intelligence in English Language Teaching and Learning (2015-2021): What are the Current Effects?

Sharadgah

Sa’di

2022

JITE:Research

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Aim/Purpose: This study carried out a systematic review of the literature on artificial intelligence (AI) in English language teaching (ELT). The objective was to delineate the current research progress in the field and to further understand the challenges. Background: The study analyzed articles published between 2015 and 2021. Methodology: The qualitative research method was employed. Five steps were taken to steer the review. 200 articles were scrutinized; 64 were retained. Contribution: Prior research on AI in ELT has not investigated how the literature is progressing or what areas of AI are being covered. Without a holistic picture, some important research findings could be missed. Understanding how studies on AI in ELT are designed and implemented will contribute to a greater understanding of the existing state of research. Findings: Findings show that there is a promising future for AI in ELT. AI in ELT yielded positive results in terms of optimizing the English language skills, translation, assessment, recognition, attitude, satisfaction, etc. It was also found out that more and more articles on the topic are being published; the mixed research method is the most commonly used, higher education level is the most sampled, students as participants are the most sampled, and most studies developed novel AI-based systems. Various AI approaches have been identified in the reviewed studies, including machine learning, neural network, support vector machine, genetic algorithms, deep learning, decision tree, expert system, natural language processing, data mining, cloud computing, and edge computing. However, AI in ELT is still in its infancy, where little research has been conducted and gaps in the literature are still present, especially in terms of inherent issues related to body language, gestures, expressions, emotions, translation, lack of elaborate description of teaching material used for learning driven by AI, uncertainties and vagueness with regards to what can be considered under the realm of AI, and most authors being outside of the ELT discipline. Recommendations for Practitioners: This literature review is likely to provide practitioners with an overview of the current adopted technology, research method, instruments and/or tools, educational level, language skill, and the effects reported by the AI-based studies for designing effective systems for the use of AI in their ELT classrooms. Recommendation for Researchers: Researchers need to conduct research on AI in ELT along with a detailed in-depth description of the methodology, research design, and the proposed systems used to achieve AI in ELT. Furthermore, it is recommended that researchers explore the efficiency of AI-based systems used in previous research and ensure their relevance and functionality. They are also required to provide in-depth analysis of the challenges inherent to systems that have been highlighted in the literature, which will maximize the potentials of these AI-based technologies. Impact on Society: The findings of this paper can provide visualization of research findings that could particularly benefit researchers, educators, and AI specialists who are involved in the study of the applications of AI in ELT. Future Research: Future AI research needs to seriously include more detailed descriptions of the method in further research.

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“…As far as the duration of the experiment is concerned, Ma's study [12] lasted the whole semester, making it the most extended study in this review, and it is essential when compared to the other studies where there was little interaction with the technology. After a semester of instruction, the two groups were given a final English exam that included listening, speaking, grammar, reading comprehension, and writing.…”

Section: Procedures Findings and Limitationsmentioning

confidence: 99%

Systematic Review of Virtual Reality in the Acquisition of Second Language

Pataquiva¹,

Klímová

2022

Int. J. Emerg. Technol. Learn.

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Innovations in the fields of virtual reality (VR) and augmented reality (AR) and the availability and usability improvements seen in recent years in these technologies have opened new possibilities in the field of foreign language learning. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, this study conducted a review of seven recent original articles with empirical data focused on the second language (L2) acquisition using immersive reality technologies. The main aim of this study was to analyze what language skills and what proficiency of students’ language level benefited most from the use of these new technologies. In addition, the authors explored what kind of VR or AR was used since the term may refer to a series of technologies that do not mean the same. For instance, VR might mean using headset displays, or it may refer to the use of interactive environments. The results indicate that the current VR and AR tools show a positive impact on L2 acquisition when compared to traditional learning methods, such as book-based learning. In addition, the findings reveal that VR and AR can be used among students with zero previous knowledge up to an intermediate and advanced level of fluency, with any L2 language. Nevertheless, only listening and reading skills play a role in the acquisition of L2 using virtual reality. However, as with any recent research field, it should be noted that there are several methodological limitations and that it is necessary to consider the achieved results critically.

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An Immersive Context Teaching Method for College English Based on Artificial Intelligence and Machine Learning in Virtual Reality Technology

Cited by 58 publications

References 26 publications

The Role of Three-Dimensional Reconstruction of Medical Images and Virtual Reality in Nursing Experimental Teaching

The Role of Three-Dimensional Reconstruction of Medical Images and Virtual Reality in Nursing Experimental Teaching

A Systematic Review of Research on the Use of Artificial Intelligence in English Language Teaching and Learning (2015-2021): What are the Current Effects?

Systematic Review of Virtual Reality in the Acquisition of Second Language

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