Research on the relationship between college students’ English learning anxiety and biomechanical factors
Abstract
English learning has become essential for higher education for students throughout the world, particularly in non-English-speaking nations where fluency in the language is frequently linked to success in the classroom, employment prospects, and international communication. Learning English is an emotional as well as a cognitive endeavor for many students. Anxiety related to language acquisition, including exam anxiety, fear of rejection, and fear of communication, is a common issue that can significantly impact how well students achieve. The goal of this research is to examine the connection among biomechanical characteristics and the anxiety that college students have while learning English. Participating in this study were 326 college students in total. Participants will also complete a structured questionnaire survey on biomechanical factors, as well as supposed muscle tension, posture habits, and physical discomfort throughout English learning sessions. The Foreign Language Classroom Anxiety Scale (FLCAS) is a validated instrument that will be used to measure English learning anxiety levels. The data was analyzed by statistical methods, including Regression analysis and Pearson correlation were utilized to ascertain the association between the English learning anxiety score and biomechanical factors. To evaluate students’ anxiety and biomechanical reactions, an ANOVA will be used. The data was analyzed using SPSS v20 software. The result established the relationship between English learning anxiety and biomechanical factors is necessary for creating more supportive learning environments. Research demonstrates that the relationship between bodily reactions and anxiety, needs to address the mental and physical components of stress, and the significance of developing more effective methods of lowering anxiety, boosting student well-being, and raising academic achievement in English learning. This research suggests the relationship between college students’ English learning anxiety and biomechanical characteristics, adding to a more complete understanding of how physical and psychological aspects impact English language learning outcomes.
References
1. Ramírez-Adrados; A.; Beltrán-Velasco; A.I.; Gonzalez-de-Ramos; C.; Fernández-Martínez; S.; Martinez-Pascual; B.; Fernández-Elías; V.E. and Clemente-Suárez; V.J.; 2020. The effect of final dissertation defense language; native vs. non-native; in the psychophysiological stress response of university students. Physiology & Behavior; 224; p.113043.https://doi.org/10.1016/j.physbeh.2020.113043
2. Meng; X. and Zhang; J.; 2020. Anxiety recognition of college students using a Takagi-Sugeno-Kang fuzzy system modeling method and deep features. IEEE Access; 8; pp.159897-159905.10.1109/ACCESS.2020.3021092
3. Rodríguez-Arce; J.; Lara-Flores; L.; Portillo-Rodríguez; O. and Martínez-Méndez; R.; 2020. Towards an anxiety and stress recognition system for academic environments based on physiological features. Computer methods and programs in biomedicine; 190; p.105408.https://doi.org/10.1016/j.cmpb.2020.105408
4. Ran; C.; Wang; Y. and Zhu; W.; 2022. Comparison of foreign language anxiety based on four language skills in Chinese college students. BMC Psychiatry; 22(1); p.558.https://doi.org/10.1186/s12888-022-04201-w
5. Harithasan; D.; Singh; D.K.A.; Abd Razak; N.A.B. and Baharom; N.B.; 2022. Personal; academic stressors and environmental factors contributing to musculoskeletal pain among undergraduates due to online learning: a mixed method study with data integration. International journal of environmental research and public health; 19(21); p.14513.https://doi.org/10.3390/ijerph192114513
6. Lou; N.M. and Noels; K.A.; 2020. Breaking the vicious cycle of language anxiety: Growth language mindsets improve lower-competence ESL students’ intercultural interactions. Contemporary Educational Psychology; 61; p.101847.https://doi.org/10.1016/j.cedpsych.2020.101847
7. Dirzyte; A.; Vijaikis; A.; Perminas; A. and Rimasiute-Knabikiene; R.; 2021. Associations between depression; anxiety; fatigue; and learning motivating factors in e-learning-based computer programming education. International Journal of Environmental Research and Public Health; 18(17); p.9158. https://doi.org/10.3390/ijerph18179158
8. Daher; A. and Halperin; O.; 2021; November. Association between psychological stress and neck pain among college students during the coronavirus disease of 2019 pandemic: a questionnaire-based cross-sectional study. In Healthcare (Vol. 9; No. 11; p. 1526). MDPI.https://doi.org/10.3390/healthcare9111526
9. Papageorgi; I.; 2022. Prevalence and predictors of music performance anxiety in adolescent learners: contributions of individual; task-related and environmental factors. Musicae Scientiae; 26(1); pp.101-122.https://doi.org/10.1177/1029864920923128
10. Gumasing; M.J.J. and Castro; F.M.F.; 2023. Determining ergonomic appraisal factors affecting the learning motivation and academic performance of students during online classes. Sustainability; 15(3); p.1970.https://doi.org/10.3390/su15031970
11. Qu; Z.; Chen; J.; Li; B.; Tan; J.; Zhang; D.; and Zhang; Y.; 2020. Measurement of high-school students’ trait math anxiety using neurophysiological recordings during math exam. IEEE Access; 8; pp.57460-57471.10.1109/ACCESS.2020.2982198
12. Kabir; R.; Isha; S.N.; Chowdhury; M.T.H.; Siddika; N.; Jahan; S.S.; Saha; A.K.; Nath; S.K.; Jahan; M.S.; Sivasubramanian; M.; Mahmud; I. and Hoque Apu; E.; 2021. Depression among the non-native international undergraduate students studying Dentistry in Bangladesh. International Journal of Environmental Research and Public Health; 18(11); p.5802.https://doi.org/10.3390/ijerph18115802
13. Pal; R.; Adhikari; D.; Heyat; M.B.B.; Guragai; B.; Lipari; V.; Brito Ballester; J.; De la Torre Díez; I.; Abbas; Z. and Lai; D.; 2022. A novel smart belt for anxiety detection; classification; and reduction using IIoMT on students’ cardiac signal and MSY. Bioengineering; 9(12); p.793.https://doi.org/10.3390/bioengineering9120793
14. Thiemann; P.; Brimicombe; J.; Benson; J. and Quince; T.; 2020. When investigating depression and anxiety in undergraduate medical students timing of assessment is an important factor-a multicentre cross-sectional study. BMC Medical Education; 20; pp.1-8.https://doi.org/10.1186/s12909-020-02029-0
15. Akram; H. and Abdelrady; A.H.; 2023. Application of ClassPoint tool in reducing EFL learners’ test anxiety: empirical evidence from Saudi Arabia. Journal of Computers in Education; 10(3); pp.529-547.https://doi.org/10.1007/s40692-023-00265-z
16. Jahara; S.F.; Hussain; M.; Kumar; T.; Goodarzi; A. and Assefa; Y.; 2022. The core of self-assessment and academic stress among EFL learners: The mediating role of coping styles. Language Testing in Asia; 12(1); p.21.https://doi.org/10.1186/s40468-022-00170-9
17. Güvendir; E. and Uzun; K.; 2023. L2 writing anxiety; working memory; and task complexity in L2 written performance. Journal of Second Language Writing; 60; p.101016.https://doi.org/10.1016/j.jslw.2023.101016
18. Blows; S. and Isaacs; S.; 2022. Prevalence and factors associated with substance use among university students in South Africa: implications for prevention. BMC Psychology; 10(1); p.309.https://doi.org/10.1186/s40359-022-00987-2
19. Oduntan; A.; Oyebode; O.; Beltran; A.H.; Fowles; J.; Steeves; D. and Orji; R.; 2022. “I Let Depression and Anxiety Drown Me…”: Identifying Factors Associated With Resilience Based on Journaling Using Machine Learning and Thematic Analysis. IEEE Journal of biomedical and Health Informatics; 26(7); pp.3397-3408.10.1109/JBHI.2022.3149862
20. Acevedo; C.M.D.; Gómez; J.K.C. and Rojas; C.A.A.; 2021. Academic stress detection on university students during the COVID-19 outbreak by using an electronic nose and the galvanic skin response. Biomedical Signal Processing and Control; 68; p.102756.
21. Sun; Q.; Yang; Z. and Jiang; L.; 2024. Effect of an EAP Course on Students’ Writing Performance; Anxiety and Self-Efficacy: A Latent Profile Analysis. The Asia-Pacific Education Researcher; pp.1-16.10.1007/s40299-024-00909-3
22. Hu; X.; Zhang; X. and McGeown; S.; 2024. Foreign language anxiety and achievement: A study of primary school students learning English in China. Language teaching research; 28(4); pp.1594-1615.10.1177/13621688211032332
23. Li; K.; Qin; X.; Ji; S. and Zou; L.; 2023. The Effects of General Listening Anxiety and Listening Test Anxiety on Self-Perceived Listening Performance Among Chinese English Learners. Psychology Research and Behavior Management; pp.3541-3560.
24. Fu; J.; Ding; Y.; Nie; K. and Zaigham; G.H.K.; 2023. How does self-efficacy; learner personality; and learner anxiety affect critical thinking of students. Frontiers in Psychology; 14; p.1289594.10.3389/fpsyg.2023.1289594
25. Chen; Z.; 2024. A Study of Chinese Undergraduate Students’ English Language Speaking Anxiety; Expectancy-Value Beliefs and Spoken English Proficiency. SAGE Open; 14(1); p.21582440231219312.10.1177/21582440231219312
Copyright (c) 2024 Xuemei Guo, Xin Gu
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on all articles published in this journal is retained by the author(s), while the author(s) grant the publisher as the original publisher to publish the article.
Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International, which means they can be shared, adapted and distributed provided that the original published version is cited.