Integrating gesture and posture analysis in enhancing English language teaching effectiveness
Abstract
Non-verbal communication, particularly gestures and posture, is vital in enhancing student engagement, comprehension, and retention in language learning. This study investigates the impact of integrating deliberate gestures and posture into English language teaching, focusing on student learning outcomes. A controlled experiment was conducted with 58 participants (8 teachers and 50 students) divided into Experimental Groups (EG) and Control Groups (CG). Teachers in the EG received training on the effective use of iconic, deictic, metaphoric, and beat gestures and posture awareness techniques, while the CG followed traditional teaching practices. Data were collected through pre-and post-tests, student surveys, classroom observations, and retention assessments. The results demonstrated significant improvements in the EG compared to the CG across all measures. Comprehension scores in the EG increased by 6.62 points, compared to 2.96 points in the CG (T-statistic = 3.27, P-value = 0.002). Student engagement levels were also higher in the EG, with more frequent participation, higher motivation, and a more substantial influence of gestures and posture on learning (F-statistic for engagement = 18.27, P-value = 0.002). Additionally, retention of language concepts two weeks after the intervention was significantly higher in the EG, with an 8.50% improvement over the CG (Cohen’s d = 2.01, large effect size). Regression analysis further confirmed that gesture frequency and type strongly predicted comprehension, engagement, and retention improvements.
References
1. Bedir, H., and Daskan, A. (2023). The Significance of Body Language in Foreign Language Learning and Teaching. International Journal of Social Sciences & Educational Studies, 10(1).
2. Khuman, P. (2024). THE IMPACT OF NON-VERBAL COMMUNICATION IN TEACHING: ENHANCING EDUCATIONAL EFFECTIVENESS.
3. Lisnawati, N., Hidayati, A. N., Silvani, D., Abdullah, F., and Andriani, A. (2021). Delivering English Language Teaching Materials Through Hand Gestures: A View from Multimodal Perspective. Ilkogretim Online, 20(6), 1803-1819.
4. Tomás, E., Gorbach, T., Tellioğlu, H., and Kaltenbrunner, M. (Eds.). (2022). Embodied gestures. TU Wien Academic Press.
5. Roshchina, A. (2023). Speech-entangled gesture as a linguistic phenomenon in its own right: towards a multimodal approach to language and evolution (Master’s thesis, NTNU).
6. Symonds, J. E., Kaplan, A., Upadyaya, K., Aro, K. S., Torsney, B. M., Skinner, E., and Eccles, J. S. (2024). Momentary student engagement as a dynamic developmental system. Journal of Theoretical and Philosophical Psychology.
7. Martinez-Maldonado, R., Echeverria, V., Mangaroska, K., Shibani, A., Fernandez-Nieto, G., Schulte, J., and Buckingham Shum, S. (2022). Moodoo the tracker: Spatial classroom analytics for characterising teachers’ pedagogical approaches. International Journal of Artificial Intelligence in Education, 1-27.
8. Lopez-Ozieblo, R. (2023). Observations on the progression of gestures with L2 proficiency: A call for further research. Journal of Psycholinguistic Research, 52(2), 381-404.
9. Park, E. (2022). Teaching intercultural communicative competence in the Asian EFL context: A systematic research synthesis. Studies in British and American Language and Literature, 146, 329-352.
10. Jamila, M., and Zubairi, A. M. (2022). A Systematic Review of Autonomous Learning in ESL/EFL in Bangladesh: A Road to Discovery Era (2009-2022). English Language Teaching, 15(4), 47-66.
11. Indumathi Nallathambi, Padmaja Savaram, Sudhakar Sengan*, Meshal Alharbi, Samah Alshathri, Mohit Bajaj, Moustafa H. Aly and Walid El-Shafai, Impact of Fireworks Industry Safety Measures and Prevention Management System on Human Error Mitigation Using a Machine Learning Approach, Sensors, 2023, 23 (9), 4365; DOI:10.3390/s23094365.
12. Parkavi Krishnamoorthy, N. Satheesh, D. Sudha, Sudhakar Sengan, Meshal Alharbi, Denis A. Pustokhin, Irina V. Pustokhina, Roy Setiawan, Effective Scheduling of Multi-Load Automated Guided Vehicle in Spinning Mill: A Case Study, IEEE Access, 2023, DOI:10.1109/ACCESS.2023.3236843.
13. Ran Qian, Sudhakar Sengan, Sapna Juneja, English language teaching based on big data analytics in augmentative and alternative communication system, Springer-International Journal of Speech Technology, 2022, DOI:10.1007/s10772-022-09960-1.
14. Ngangbam Phalguni Singh, Shruti Suman, Thandaiah Prabu Ramachandran, Tripti Sharma, Selvakumar Raja, Rajasekar Rangasamy, Manikandan Parasuraman, Sudhakar Sengan, “Investigation on characteristics of Monte Carlo model of single electron transistor using Orthodox Theory”, Elsevier, Sustainable Energy Technologies and Assessments, Vol. 48, 2021, 101601, DOI: 10.1016/j.seta.2021.101601.
15. Huidan Huang, Xiaosu Wang, Sudhakar Sengan, Thota Chandu, Emotional intelligence for board capital on technological innovation performance of high-tech enterprises, Elsevier, Aggression and Violent Behavior, 2021, 101633, DOI: 10.1016/j.avb.2021.101633.
16. Sudhakar Sengan, Kailash Kumar, V. Subramaniyaswamy, Logesh Ravi, Cost-effective and efficient 3D human model creation and re-identification application for human digital twins, Multimedia Tools and Applications, 2021. DOI:10.1007/s11042-021-10842-y.
17. Prabhakaran Narayanan, Sudhakar Sengan*, Balasubramaniam Pudhupalayam Marimuthu, Ranjith Kumar Paulra, Novel Collision Detection and Avoidance System for Mid-vehicle Using Offset-Based Curvilinear Motion. Wireless Personal Communication, 2021. DOI:10.1007/s11277-021-08333-2.
18. Balajee Alphonse, Venkatesan Rajagopal, Sudhakar Sengan, Kousalya Kittusamy, Amudha Kandasamy, Rajendiran Periyasamy Modeling and multi-class classification of vibroarthographic signals via time domain curvilinear divergence random forest, J Ambient Intell Human Comput, 2021, DOI:10.1007/s12652-020-02869-0.
19. Omnia Saidani Neffati, Roy Setiawan, P Jayanthi, S Vanithamani, D K Sharma, R Regin, Devi Mani, Sudhakar Sengan*, An educational tool for enhanced mobile e-Learning for technical higher education using mobile devices for augmented reality, Microprocessors and Microsystems, Vol. 83, 2021, 104030, DOI: 10.1016/j.micpro.2021.104030.
20. Firas Tayseer Ayasrah, Nabeel S. Alsharafa, Sivaprakash S, Srinivasarao B, Sudhakar Sengan and Kumaran N, “Strategizing Low-Carbon Urban Planning through Environmental Impact Assessment by Artificial Intelligence-Driven Carbon Foot Print Forecasting”, Journal of Machine and Computing, Vol. 4, No. 04, 2024, doi: 10.53759/7669/jmc202404105.
21. Shaymaa Hussein Nowfal, Vijaya Bhaskar Sadu, Sudhakar Sengan*, Rajeshkumar G, Anjaneyulu Naik R, Sreekanth K, Genetic Algorithms for Optimized Selection of Biodegradable Polymers in Sustainable Manufacturing Processes, Journal of Machine and Computing, Vol. 4, No. 3, PP. 563-574, https://doi.org/10.53759/7669/jmc202404054.
22. Hayder M. A. Ghanimi, Sudhakar Sengan*, Vijaya Bhaskar Sadu, Parvinder Kaur, Manju Kaushik, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani & Pankaj Dadheech, An open-source MP + CNN + BiLSTM model-based hybrid model for recognizing sign language on smartphones. Int J Syst Assur Eng Manag (2024). https://doi.org/10.1007/s13198-024-02376-x
23. K. Bhavana Raj, Julian L. Webber, Divyapushpalakshmi Marimuthu, Abolfazl Mehbodniya, D. Stalin David, Rajasekar Rangasamy, Sudhakar Sengan, Equipment Planning for an Automated Production Line Using a Cloud System, Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565, pp 707–717, Springer, Singapore. DOI:10.1007/978-981-19-7455-7_57.
24. Andrä, C., Mathias, B., Schwager, A., Macedonia, M., and Von Kriegstein, K. (2020). Learning foreign language vocabulary with gestures and pictures enhances vocabulary memory for several months post-learning in eight-year-old school children. Educational Psychology Review, 32(3), 815-850.
25. Clough, S., and Duff, M. C. (2020). The role of gesture in communication and cognition: Implications for understanding and treating neurogenic communication disorders. Frontiers in Human Neuroscience, 14, 323.
26. Lin, Y. L. (2021). Gestures as scaffolding for L2 narrative recall: The role of gesture type, task complexity, and working memory: Language Teaching Research, 13621688211044584.
27. Vilà-Giménez, I. (2020). Non-referential beat gestures as a window onto the development of children’s narrative abilities.
28. Solomon, A. (2021). Embodiment in Computer Science Learning: How Space, Metaphor, Gesture, and Sketching Support Student Learning (Doctoral dissertation, Ph. D. Dissertation. Georgia Institute of Technology).
29. Werth, E., and Williams, K. (2022). The why of open pedagogy: a value-first conceptualization for enhancing instructor praxis. Smart Learning Environments, 9(1), 10.
30. S. Sudhakar and S. Chenthur Pandian, (2016), ‘Hybrid Cluster-based Geographical Routing Protocol to Mitigate Malicious Nodes in Mobile Ad Hoc Network, InderScience-International Journal of Ad Hoc and Ubiquitous Computing, vol. 21, no. 4, pp. 224-236. DOI:10.1504/IJAHUC.2016.076358.
31. Bergdahl, N. (2022). Engagement and disengagement in online learning. Computers & Education, 188, 104561.
32. Qin, Y., and Wang, P. (2021). How EFL teachers engage students: a multimodal analysis of pedagogic discourse during classroom lead-ins. Frontiers in Psychology, 12, 793495.
33. Gerrels, M. M. (2024). Leveraging Signaling to Prevent Cognitive Disengagement in Virtual Middle School Students: A Transcendental Phenomenological Study
Copyright (c) 2024 Zhenqiu Yang, Hongying Yang
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.