The Interaction between Chatbot Pattern and learning style to Develop English Vocabulary Skills for intermediate School Students in the UAE
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Abstract
This research investigates the interaction between chatbot patterns (linguistic and voice) and learning styles (visual and auditory) in developing English vocabulary skills among intermediate school students in the UAE. A quasi-experimental design was employed with four groups of male and female Grade 8 students (N = 72), categorized based on their learning styles (visual vs. auditory) and chatbot interaction patterns (linguistic-based vs. voice-based). The participants were randomly assigned to the following groups: Visual-Linguistic, Visual-Voice, Auditory-Linguistic, and Auditory-Voice. To achieve the research objectives, several instruments were utilized, including a Learning Style Questionnaire (based on the VARK model), an English Vocabulary Skills Checklist, and a Vocabulary Knowledge Skills Test (pre- and post-tests). The chatbot was implemented through a web-based platform and integrated within Teams, the school's official Learning Management System (LMS). Quantitative results revealed significant differences in vocabulary acquisition between pre-test and post-test scores across all groups, with the greatest improvements observed in the Visual-Linguistic group, followed by the Auditory-Voice, Auditory-Linguistic, and Visual-Voice groups. The results also showed significant differences between the linguistic and voice groups in favor of the linguistic chatbot, with a high impact, while no significant differences were found between visual and auditory groups, with only a low impact. These findings underscore the effectiveness of chatbot-based interventions in enhancing English vocabulary skills, particularly when chatbot interaction types are aligned with students' learning styles. The research recommends integrating chatbot technologies tailored to students' learning styles into English language curricula to improve vocabulary acquisition and overall language proficiency.
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References
Abdul Rahman., T. (2020). Learning styles and academic achievement: A case study of Malaysian students. Penerbit Universiti Malaya.
Abdul-Kader, S. A., & Woods, J. (2015). Survey on Chatbot Design Techniques in Speech Conversation Systems. International Journal of Advanced Computer Science and Applications, 6(7).
Al Muid, M. A., Reza, M. M., Kalim, R. B., Ahmed, N., Habib, M. T., & Rahman, M. S. (2020, March). EduBot: An unsupervised domain-specific chatbot for educational institutions. In International Conference on Artificial Intelligence & Industrial Applications (166-174). Springer, Cham.
Alemi, M., Meghdari, A., & Ghazisaedy, M. (2014). Employing humanoid robots for teaching English language in Iranian junior high schools. International Journal of Humanoid Robotics, 11(03), 1450022.
Alqahtani, M. (2015). The significance of vocabulary in language learning and its effective instruction. International Journal of Teaching and Education, 3(3), 21–34.
Bandura, A. (1977). Social Learning Theory. Englewood Cliffs, NJ: Prentice Hall.
Bonwell, C., & Eison, J. (1991). Active Learning: Creating Excitement in the Classroom. ASHE-ERIC Higher Education Reports.
Dalton, B., & Grisham, D. L. (2011). eVoc strategies: 10 ways to use technology to build vocabulary. The Reading Teacher, 64(5). 306-317.
Derakhshan, A., Tahery, F., & Mirarab, N. (2015). Helping adult and young learners to communicate in speaking classes with confidence. Mediterranean Journal of Social Sciences, 6(2), 520.
Deshpande, A., Shahane, A., Gadre, D., Deshpande, M., & Joshi, P.M. (2017). A survey of various chatbot implementation techniques. International Journal of Computer Applications, 169(9), 28–32.
Diamond, L. M., & Gutlohn, M. (2006). Teaching Vocabulary to English Language Learners: A Review of the Research. Language Teaching Research, 10(1), 37-63.
Dunn, R., & Dunn, K., (1993). Teaching secondary students through their individual learning styles: Practical approaches for grades 7 - 12. Boston: Allyn & Bacon.
Elmaadaway, M., Elnaggar, M., Abouhashesh, M. (2025). Improving Primary School Students' Oral Reading Fluency Through Voice Chatbot-Based AI. Journal of Computer Assisted Learning. 41(2). 1-15. https://doi.org/10.1111/jcal.70019.
Elnaggar, M., & Habib, A., (2021). An Artificial Intelligent Program based on Chatbot and Learning Style in E-Training Environment and its Impact on developing E-Learning Management System usage skills among Preparatory Stage Teachers". Journal of Education Technology. 31 (2). 91-201. DOI: 10.21608/TESR.2021.149030
Fang, Y., Chen, P., Cai, G., Lau, F. C., Liew, S. C., & Han, G. (2019). Outage-limit-approaching channel coding for future wireless communications: Root-protograph low-density parity-check codes. IEEE Vehicular Technology Magazine, 14(2), 85-93.
Fleming, N., & Mills, C. (1992). Not another inventory, rather a catalyst for reflection. To Improve the Academy, 11, 137-155.
Fleming, N., & Mills, C. (2011). In VARK: How to learn with your learning style. A guide to learning styles. VARK Learn Limited https://vark-learn.com.
Gilakjani, A., (2012). Visual, Auditory, Kinaesthetic Learning Styles and Their Impacts on English Language Teaching. Journal of Studies in Education. 2(1). 104-113. 10.5296/jse.v2i1.1007.
Heller, B., et al. (2005). Freudbot: An investigation of chatbot technology in distance education. EdMedia+ Innovate Learning. 3913-3918. International Journal of Trend in Scientific Research and Development (IJTSRD), 4(6). 786-788. You can access this source at the following URL: https://tinyurl.com/2wpc3jv8 .
Hussein, D. (2024). Developing a Smart Learning Environment Based on The Interaction Between Two Patterns of Chatbots (Text Voice) and Locus of control (Internal External) to develop the Design Skills of Smart Devices Applications for Postgraduate Students. PhD Dissertation. Mansoura University.
International Society for Technology in Education. (ISTE) (2017). ISTE standards for educators. https://www.iste.org/standards/iste-standards-for-teachers
Ismail, S. A. A., Al-Mekhlafi, A. M., Abulibdeh, E. S., & Hassan, M. M. (2014). The role of learning styles in students’ academic performance: A case study in Oman. International Journal of Education and Research, 2(1), 1-12.
Jia & Chen (2009). Motivate the Learners to Practice English through Playing with Chatbot CSIEC. In Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment. 180-191.
Johnson, M. (2009). Evaluation of learning style for first-year medical students. International Journal for the Scholarship of Teaching and Learning, 3(1), 1–15.
Keefe JW. (1979). Learning style: An overview. NASSP’s Student learning styles: Diagnosing and proscribing programs. Reston, VA: National Association of Secondary School Principles.
Khan, R., & Das, A. (2018). Introduction to chatbots. In Build better chatbots (1-11). Apress, Berkeley, CA.
Kim, N. (2017). Effects of Different Types of Chatbots on EFL Learners' Speaking Competence and Learner Perception. Cross-Cultural Studies, 48, 223-252.
Kim, N. Y. (2016). Effects of Different Voice-chat Conditions on Korean EFL Learners' Speaking Ability, Oral Interaction, and Affective Factors. Doctoral Dissertation, Ewha Womans University, Korea.
Kim, N. Y. (2018). A Study on Chatbots for Developing Korean College Students' English Listening and Reading Skills. Journal of Digital Convergence, 16(8), 19-26.
Timms, M. J. (2016). Letting artificial intelligence in education out of the box: Educational cobots and smart classrooms, Int. J. Artif. Intell. Edu. 26(2). 701-712.
Mageira, K., Pittou, D., Papasalouros, A., Kotis, K., Zangogianni, P., & Daradoumis, A. (2022). Educational AI chatbots for content and language integrated learning. Applied Sciences, 12(7), 3239.
Matsuura, S., et al. (2017). Chatbot and dialogue demonstration with a humanoid robot in the lecture class. International Conference on Universal Access in Human-Computer Interaction (233-246).
Mayer, R. E. (2003). The promise of multimedia learning: Using the same instructional design methods across different media. Learning and Instruction, 13(2), 125–139.
Mukoroli, J. (2011). Effective strategies for teaching vocabulary in academic ESL settings. MA TESOL Collection. Retrieved from https://digitalcollections.sit.edu/ipp_collection/501
Nation, I. S. P. (1990). Teaching and learning vocabulary. Heinle & Heinle Publishers.
Nation, I. S. P., & Meara, P. (2010). Vocabulary. In N. Schmitt (Ed.), An introduction to applied linguistics. 2nd ed., pp. 34-52). Hodder Education.
Noori, S. G. (2019). Patterns of Learners. Journal of Education, 36(5), 123-135.
Nuankaew, P., Nuankaew, W., Phanniphong, K., Imwut, S., & Bussaman, S. (2019). Students Model in Different Learning Styles of Academic Achievement at The University of Phayao, Thailand. iJET, 14(12), 133-157.
Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning styles: Concepts and evidence. Psychological Science in the Public Interest, 9(3), 105–119.
Piaget, J. (1954). The Construction of Reality in the Child. New York: Basic Books.
Retalis, S., Garzotto, F., & Tzanavari, A. (2004). Designing web-based learning environments to cater for different learning styles: A case study. In Proceedings of the 3rd IASTED International Conference on Web-Based Education (pp. 207-212). ACTA Press.
Roos, S. (2018). Chatbots in education: A passing trend or a valuable pedagogical tool? https://verloop.io/blog/voicebot-vs-chatbot/
Schmitt, N. (2019). Understanding vocabulary acquisition, instruction, and assessment: A research agenda. Language Teaching, 52(2). 261-274.
Shevat, A. (2017). Designing bots: Creating conversational experiences. O'Reilly Media.
Shiohira, K., & Kelly, O. (2017). Understanding the impact of artificial intelligence on skills development. UNESCO-UNEVOC International Centre for Technical and Vocational Education and Training. https://unevoc.unesco.org/pub/understanding_the_impact_of_ai_on_skills_development.pdf
Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2(1). 3-10.
Silverman, L. K. (1988). The Kolb Learning Style Inventory (LSI): Version 3.1, technical specifications. Experience Based Learning Systems, Inc.
Skinner, B. (1957). Verbal Behavior. New York: Appleton-Century-Crofts.
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines", J. Bus. Res.104, pp333-339, Nov.
Sternberg, R. J. (1994). Allowing for thinking styles. Educational Leadership, 52(3). Retrieved from https://eric.ed.gov/?id=EJ492910
Sweller, J. (1988). Cognitive Load During Problem Solving: Effects on Learning. Cognitive Science, 12(2), 257-285.
Thakor, V., Vaszquez, et al. (2021). The role of interactive chatbots in education during COVID-19. Peer J Computer Science, 7, e564.
Vaishnav, R. S., Akbarov, A., & Obralić, N. (2012). Learning style preferences: A study of Montenegrin EFL students. Journal of Teaching and Education, 1(4), 1–12.
Varalakshmi. (2017). What is Chatbot and Why Chatbot? Tech Web Space. Retrieved from https://www.techwebspace.com/what-is-chatbot-and-why-chatbot/
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Walker, A., & White, G. (2013). Technology enhanced language learning: Connecting theory and practice. Oxford University Press.
Walton Family Foundation (2023). Teachers and students embrace ChatGPT for education. https://www.waltonfamilyfoundation.org/learning/teachers-and-students-embrace-chatgpt-for-education
Wang, Y. F., & Petrina, S. (2013). Using learning analytics to understand the design of an intelligent language tutor–Chatbot lucy. Editorial Preface, 4(11), 124-131.
Wasik, B. A., & Iannone‐Campbell, C. (2012). Facilitating vocabulary development through purposeful, strategic dialogues. The Reading Teacher, 66(4), 321-332.
Zhang, Z., and Huang, X. (2024). The impact of chatbots based on large language models on second language vocabulary acquisition. Heliyon. 10. 1-14. 10.1016/j.heliyon.2024.e25370.