Teaching model of English education in biomechanical environment

  • Bihong Yan School of Foreign Languages, Fujian Polytechnic Normal University, Fuqing 350300, China
  • Xiaoyan Yan Fujian Fuqing No. 1 Middle School, Fuqing 350300, China
Keywords: English teaching; biomechanical principles; personalized learning; multi-sensory interaction; interdisciplinary teaching model
Article ID: 1001

Abstract

Traditional English education research mainly focuses on the cultivation of language skills and cognitive levels, ignoring the impact of body movement and emotional expression on language learning. This single teaching model leads to a lack of interaction and participation among students in the learning process, fails to fully mobilize multi-sensory learning experiences, and affects the improvement of learning outcomes. To solve these problems, the principles of biomechanics are applied to English education, and it is proposed to promote language learning through body movement, body language, and posture. This paper constructs a new interdisciplinary teaching model, combines kinematics and sensory cognition, and designs a multi-sensory interactive teaching scenario. In addition, through personalized teaching support, personalized learning strategies are formulated according to students’ physical fitness and learning style, and a real-time feedback and evaluation mechanism is implemented to dynamically adjust teaching strategies and improve the adaptability and effectiveness of teaching. 120 intermediate English students are randomly divided into an experimental group and a control group, and a 16-week teaching practice is carried out. Significance analysis shows that the experimental group is significantly better than the control group in terms of learning effect, emotional feedback, individual difference adaptability, interactivity, and teaching adaptability (p < 0.001). The results show that the biomechanical teaching model effectively improves students’ participation, interactivity, language learning effects, and emotional attitudes, and provides a new teaching strategy for English education.

References

1. Rao P S. The role of English as a global language. Research journal of English, 2019, 4(1): 65-79.

2. Rao P S. The importance of English in the modern era. Asian Journal of Multidimensional Research (AJMR), 2019, 8(1): 7-19.

3. San I, Kiymaz O, Kis A. Effect of Traditional Methods in Teaching English on Academic Achievement: A Meta-Analysis Study. International Journal of Curriculum and Instruction, 2020, 12: 144-158.

4. Albiladi W S, Alshareef K K. Blended learning in English teaching and learning: A review of the current literature. Journal of Language Teaching and Research, 2019, 10(2): 232-238.

5. Li X. Characteristics and rules of college English education based on cognitive process simulation. Cognitive Systems Research, 2019, 57: 11-19.

6. Wu X. Research on the reform of ideological and political teaching evaluation method of college English course based on “online and offline” teaching. Journal of Higher Education Research, 2022, 3(1): 87-90.

7. Wang Y, Derakhshan A, Zhang L J. Researching and practicing positive psychology in second/foreign language learning and teaching: the past, current status and future directions. Frontiers in Psychology, 2021, 12: 731721-731731.

8. Hiver P, Al-Hoorie A H, Vitta J P, et al. Engagement in language learning: A systematic review of 20 years of research methods and definitions. Language teaching research, 2024, 28(1): 201-230.

9. Mason G M, Goldstein M H, Schwade J A. The role of multisensory development in early language learning. Journal of experimental child psychology, 2019, 183: 48-64.

10. Tanyi W. UML Language in Distributed System Modeling. Distributed Processing System (2020), 1(1): 1-8.

11. Kosmas P, Zaphiris P. Words in action: investigating students’ language acquisition and emotional performance through embodied learning. Innovation in language learning and teaching, 2020, 14(4): 317-332.

12. Alrabai F. Modeling the relationship between classroom emotions, motivation, and learner willingness to communicate in EFL: Applying a holistic approach of positive psychology in SLA research. Journal of Multilingual and Multicultural Development, 2024, 45(7): 2465-2483.

13. Zhang C, Liu X. Dense Embeddings Preserving the Semantic Relationships in WordNet. 2022 International Joint Conference on Neural Networks (IJCNN), 2022, 1-08.

14. Hamill J, Knutzen K M, Derrick T R. Biomechanics: 40 years on. Kinesiology Review, 2021, 10(3): 228-237.

15. Tuma F. The use of educational technology for interactive teaching in lectures. Annals of Medicine and Surgery, 2021, 62: 231-235.

16. Kyei-Blankson L, Ntuli E, Donnelly H. Establishing the importance of interaction and presence to student learning in online environments. Journal of Interactive Learning Research, 2019, 30(4): 539-560.

17. Zhang J H, Zou L, Miao J, et al. An Individualized Intervention Approach to Improving University Students’ Learning Performance and Interactive Behaviors in a Blended Learning Environment. Interactive Learning Environments, 2020, 28(2): 231-245.

18. Liu R, Wang L, Lei J, et al. Effects of an immersive virtual reality‐based classroom on students’ learning performance in science lessons. British Journal of Educational Technology, 2020, 51(6): 2034-2049.

19. Abdullah M Y, Hussin S, Ismail K. Implementation of flipped classroom model and its effectiveness on English speaking performance. International Journal of Emerging Technologies in Learning (Online), 2019, 14(9): 130-148.

20. Nety N, Nurhaeni N. STUDENTS’SELF CONFIDENCE IN SPEAKING ENGLISH. English Education Journal, 2020: 8-16.

21. Komlosi-Ferdinand F. Academic emotions and emotional validation as motivating and demotivating factors in the ESL classroom: A Mongolian case study. REIRE Revista d’Innovació i Recerca en Educació, 2020, 13(1): 1–21.

22. Lee J S, Drajati N A. Affective variables and informal digital learning of English: Keys to willingness to communicate in a second language. Australasian Journal of Educational Technology, 2019, 35(5): 168-182.

23. Kacetl J, Klimova B. Use of smartphone applications in english language learning—A challenge for foreign language education. Education Sciences, 2019, 9(3): 179-188.

24. Alamri H, Lowell V, Watson W, et al. Using personalized learning as an instructional approach to motivate learners in online higher education: Learner self-determination and intrinsic motivation. Journal of Research on Technology in Education, 2020, 52(3): 322-352.

25. Shemshack A, Kinshuk, Spector J M. A comprehensive analysis of personalized learning components. Journal of Computers in Education, 2021, 8(4): 485-503.

26. Zhou R, Wang X. The biomechanics of language: Using physical movement to improve English writing among Chinese college students. Molecular & Cellular Biomechanics, 2024, 21(3): 681-681.

27. Potop V, Mihailescu L E, Mihaila I, et al. Applied biomechanics within the Kinesiology discipline in higher education. Physical Education of Students, 2024, 28(2): 106-119.

Published
2025-01-02
How to Cite
Yan, B., & Yan, X. (2025). Teaching model of English education in biomechanical environment. Molecular & Cellular Biomechanics, 22(1), 1001. https://doi.org/10.62617/mcb1001
Section
Article