Education, Science, Technology, Innovation and Life
Open Access
Sign In

Intelligent English Teaching System and Method Based on Human-Computer Interaction Technology

Download as PDF

DOI: 10.23977/acss.2025.090216 | Downloads: 3 | Views: 218

Author(s)

Zhijuan Du 1

Affiliation(s)

1 School of English Language and Culture, Xi'an Fanyi University, Xi'an, 710105, Shaanxi, China

Corresponding Author

Zhijuan Du

ABSTRACT

At this stage, the advancement of artificial intelligence (AI) technology has facilitated technological innovation in many fields, not only bringing new guidelines for the optimization of English classrooms in the curriculum field, but also providing new support for English language understanding and learning. However, the intelligent English teaching system also has problems with low modernization and low synchronization. In view of this situation, this article integrates the human-computer interaction (HCI) technology with the intelligent English teaching system. First, the definition of HCI technology was introduced. Then the evaluation of the intelligent English language teaching system from students, teachers and parents has been collected by means of a questionnaire. Finally, an experiment was carried out on the intelligent English language teaching system and method under the human-computer interaction technology. Through experiments, it was found that the current English teaching system could not meet the teaching needs, but the introduction of human-computer interaction technology into intelligent English teaching could fulfill the requirements of customers to the greatest extent. The teaching efficiency has increased by 5.36%, and the student's English proficiency has been extremely enhanced.

KEYWORDS

Human-Computer Interaction, Intelligent English Teaching, Artificial Intelligence, Teaching Experiment

CITE THIS PAPER

Zhijuan Du, Intelligent English Teaching System and Method Based on Human-Computer Interaction Technology. Advances in Computer, Signals and Systems (2025) Vol. 9: 127-137. DOI: http://dx.doi.org/10.23977/acss.2025.090216.

REFERENCES

[1] Wen H. The dsign of intelligentenglish teaching system based on machine learning[J]. Boletin Tecnico/Technical Bulletin, 2017, 55(10):621-627.
[2] Yao N. Design and Implementation of English Teaching Management System Based on Web[J].International English Education Research: English Edition, 2018, 2(1):3-21.
[3] Zheng J. Fuzzy processing system for psychological pressure of English teachers at work based on analysis of online teaching video[J]. Journal of Intelligent and Fuzzy Systems, 2021, 5(11):1-10.
[4] Zhang W. Research on English score analysis system based on improved decision tree algorithm and fuzzy set[J]. Journal of Intelligent and Fuzzy Systems, 2020, 39(4):5673-5685.
[5] Liu G. Intelligent English writing system based on fusion of herding effect and artificial intelligence[J]. Journal of Intelligent and Fuzzy Systems, 2020, 40(2):1-11.
[6] Yu L. Research on construction and innovation new foreign language classroom teaching mode based on the" Internet Plus"[J]. Journal of Intelligent and Fuzzy Systems, 2021, 3(3):1-6.
[7] Wang J. A Comparative Study on the Wash back Effects of Teacher Feedback plus Intelligent Feedback versus Teacher Feedback on English Writing Teaching in Higher Vocational College[J]. Theory and Practice in Language Studies, 2019, 24(12):10-28.
[8] Gamboa H, A. Fred. "A behavioral biometric system based on human-compute rinteraction. "Proc of Spie, 2018, 5404(2004):381-392.
[9] Azad R, A zad B, Khalifa NB. Real-Time Human-Computer Interaction Based on Face and Hand Gesture Recognition[C]. International Conference on Mechatronics Engineering and Information Technology, 2019, 14(21):37-48.
[10] Han Q, XiC, KaiT. Anon-contact human-computer interaction application design based on electrostatic current of human body [J].International Journal of Computer Application sin Technology, 2018, 53(1):23-43.
[11] Teng, Fang Z. Next Generation of Human-Computer Interaction Technology Based on Kinect[J]. Applied Mechanics & Materials, 2017, 329(5):478-482.
[12] Qi J, Jiang G, LiG. Intelligent Human-Computer Interaction Based on Surface EMGG esture Recognition[J]. IEEE Access, 2019, 7(8):61378-61387.
[13] Sudarma M. Transformation of Information Technology Based on Human Computer Interaction Concept [J]. International Journal of Informatics and Communication Technology (IJ-ICT), 2017, 2(3):56-84.
[14] Jianfeng Liao. Research on Human-Computer Interaction Technology based on Visual User Gesture Recognition[C]. Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology, 2019, 24(7):45-62.
[15] An T, Ma C, Gu Z. Wireless Hand Gesture Recognition Based on Continuous-Wave Doppler Radar Sensors[J]. Ieee Transactions on Microwave Theory and Techniques, 2019, 64(11): 4012-4120.
[16] Ren J, Jiang X, Yuan J. Sound-Event Classification Using Robust Texture Features for Robot Hearing[J]. Ieee Transactions on Multimedia, 2017, 19(3): 447-458.
[17] Banakou D, Hanumanthu P D, Slater M. Virtual Embodiment of White People in a Black Virtual Body Leads to a Sustained Reduction in Their Implicit Racial Bias [J]. Frontiers in Human Neuroscience, 2018, 10(601):42-65.
[18] Ferwerda Bruce, Chen Li, Tkal Marko. Editorial: Psychological Models for Personalized Human ComputerInteraction (HCI) [J]. Frontiers in Psychology Volume, 2021, 5(12):673091-673092.
[19] Li M, Li W, Niu L. An Event-Related Potential-Based Adaptive Model for Telepresence Control of Humanoid Robot Motion in an Environment Cluttered With Obstacles[J]. Ieee Transactions on Industrial Electronics, 2017, 64(2): 1696-1705.
[20] Zhang W, Smith M L, Smith L N. Gender and gaze gesture recognition for human-computer interaction[J]. Computer Vision and Image Understanding, 2017, 149(5):32-50.

Downloads: 38554
Visits: 698003

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.