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Application of Psychological Effects in Intelligent Digital English Teaching Based on Multimodal Low Resource Language Information Processing from a Psychological Perspective

Published: 21 June 2024 Publication History

Abstract

With the development of information technology, intelligent digital education is gradually emerging. At the same time, with the closer economic and trade relations between regions, the demand for English talents is becoming more and more urgent. Applying the concept and method of intelligent digital education to English Teaching (ET) is of great significance for improving students’ learning efficiency and academic level, and enhancing students’ English application ability and cross-cultural communication ability. However, due to the limitations of the traditional teaching model, such as the single and outdated model, the low interest of students in learning, and the lack of emphasis on cultivating students’ English practical ability, it cannot effectively meet the requirements of improving students’ learning effect. Therefore, this article studies the intelligent digital ET mode based on multimodal low-resource language information processing, proposes the construction method of intelligent digital ET mode, and conducts experimental research on it. The research showed that the positive emotional input level index of Group X students was 8.47% higher than that of Group T students; the efficiency index of Group X students was 5.02% higher than that of Group T students; the autonomous learning ability and English learning level of Group X students were higher than those of Group T; the students in Group X had higher recognition of ET mode than those in Group T. The intelligent digital ET mode can effectively improve the learning effect.

References

[1]
Waheeb S. Albiladi and Khlood K. Alshareef. 2019. Blended learning in English teaching and learning: A review of the current literature. J. Lang. Teach. Res. 10, 2 (2019), 232–238.
[2]
Yanxia Du. 2018. Discussion on flipped classroom teaching mode in college english teaching. English Lang. Teach. 11, 11 (2018), 92–97.
[3]
Jie He. 2020. Research and practice of flipped classroom teaching mode based on guidance case. Edu. Info. Technol. 25, 4 (2020), 2337–2352.
[4]
Yong Wang. 2020. A study on college English high-efficiency class based on blended teaching mode of flipped classroom. Theory Prac. Lang. Studies 10, 9 (2020), 1066–1071.
[5]
Shan Kong. 2019. Practice of college english teaching reform based on online open course. English Lang. Teach. 12, 5 (2019), 156–160.
[6]
Dan Xu. 2019. Research on new English mobile teaching mode under the impact of mobile Internet age. Open J. Soc. Sci. 7, 5 (2019), 109–117.
[7]
Wang Bing. 2017. The college english teaching reform based on MOOC. English Lang. Teach. 10, 2 (2017), 19–22.
[8]
Bilal Mohd Zakarneh. 2018. Effectiveness of E-learning mode for teaching English language in Arab Universities. Int. J. Appl. Ling. English Lit. 7, 7 (2018), 171–181.
[9]
Kanmanli Maimaiti. 2019. Modelling and analysis of innovative path of English teaching mode under the background of big data. Int. J. Contin. Eng. Edu. Life Long Learn. 29, 4 (2019), 306–320.
[10]
Shuli Zou. 2017. Designing and practice of a college English teaching platform based on artificial intelligence. J. Comput. Theor. Nanosci. 14, 1 (2017), 104–108.
[11]
Shuli Cui. 2017. Research on across-cultural communication in college English teaching based on cloud platform. J. Comput. Theor. Nanosci. 14, 1 (2017), 89–93.
[12]
Myeong-Hee Shin. 2021. Development of english teaching model applying artificial intelligence through maker education. J. Korea Converg. Soc. 12, 3 (2021), 61–67.
[13]
Xiufang Liang. 2021. Reform of English interactive teaching mode based on cloud computing artificial intelligence–a practice analysis. J. Intell. Fuzzy Syst. 40, 2 (2021), 3617–3629.
[14]
Xiaoguang Li. 2017. The construction of intelligent English teaching model based on artificial intelligence. Int. J. Emerg. Technol. Learn. 12, 12 (2017), 35–44.
[15]
Jurayev Tuychi Norbutaevich. 2020. Use of digital learning technologies in education on the example of smart education. J. La Edusci 1, 3 (2020), 33–37.

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Published In

cover image ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing  Volume 23, Issue 6
June 2024
378 pages
EISSN:2375-4702
DOI:10.1145/3613597
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2024
Online AM: 25 May 2023
Accepted: 29 April 2023
Revised: 02 April 2023
Received: 01 March 2023
Published in TALLIP Volume 23, Issue 6

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Author Tags

  1. English teaching mode
  2. intelligent digital education
  3. positive psychology
  4. positive emotional input level
  5. learning efficiency

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  • Tangshan Federation of Social Sciences

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