Design and Research of Computer-Aided English Teaching Methods
Design of intelligent research systems is considered as one of the most prominent developments in multi-modal information domains in our day-to-day life. While significant growth in computer-aided English teaching methods (CAETMs) has made a progression over the past few years using techniques such...
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Published in | International journal of HR : humanoid robotics Vol. 20; no. 2n03 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Singapore
World Scientific Publishing Company
01.06.2023
World Scientific Publishing Co. Pte., Ltd |
Subjects | |
Online Access | Get full text |
ISSN | 0219-8436 1793-6942 |
DOI | 10.1142/S0219843622400047 |
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Summary: | Design of intelligent research systems is considered as one of the most prominent developments in multi-modal information domains in our day-to-day life. While significant growth in computer-aided English teaching methods (CAETMs) has made a progression over the past few years using techniques such as computational intelligence, biological computing aspects within the artificial intelligence domain. All the research in English teaching structures has been automated through online cloud-based applications and progressing at a rapid rate. But there are still a number of subjects that need to be explored in terms of its design, implementation, deployment of intelligent methods, and multi-agent systems in a real-world environment. However establishing teaching research subjects with novel techniques and methodologies utilized in computer vision in support of deep learning, semantic models in healthcare, organizations, and education sector are in need of further research with innovative and creative ideas. This paper will provide the emerging CAETM that solved the global needs of people in the educational domain. We will also discuss the improvements that need to be done in English teaching methods with digital computing solutions. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0219-8436 1793-6942 |
DOI: | 10.1142/S0219843622400047 |