Integrating Coding and Artificial Intelligence in English Language Teaching: A Study at Cihan University-Duhok
DOI:
https://doi.org/10.22161/jhed.5.6.16Abstract
Coding and language acquisition are highly valued in the present world, not only in the educational system but also in daily life and earning a living. In terms of Artificial intelligence (AI), Machine Learning, Deep Learning, etc., coding is becoming more and more integrated into daily life. Applying coding to increase the visualization of English learning by smart systems employing AI in the classroom, in the context of English Language Teaching (ELT), may have a significant influence on how students learn. Any civilization needs language to facilitate social interaction because it allows people to communicate their ideas, opinions, and feelings to others while also advancing their knowledge. English is a language that everyone may use to communicate with one another. As a result of the growing tendency of linguistic globalization, bilingualism is becoming a fairly common phenomenon in today's world. This paper will investigate the potential effects of coding on undergraduate students' academic performance and English language comprehension. It tries to assess both levels of learning English and vocabulary by coding using the survey data by SPSS. Additionally, it will make an effort to link the teacher's study level and outside-the-classroom teaching methods. A thorough literature review has been done and a research gap has been found. Then for the study, 60 undergraduate students from the Department of English, Cihan University- Duhok were chosen, and they were requested to take a pre-test to gauge their level of English proficiency. Additionally, the faculty were picked to gauge how easy it was for the students to grasp the language. After introducing coding and smart systems into the learning process, a post-test was conducted, and the outcomes were evaluated. The AI and smart system in the ELT can enhance the way and interest of learning. This study has led to the conclusion that coding can be added to ELT to enhance learning.
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Ahmadi, D., & Reza, M. (2018). The use of technology in English language learning: A literature review. International Journal of Research in English Education, 3(2), 115-125.
All Otaiba, S. (2005). How effective is code-based reading tutoring in English for English learners and preservice teacher-tutors?. Remedial and Special Education, 26(4), 245-254.
Backer, J. A., Mollema, L., Vos, R. E., Klinkenberg, D., van der Klis, F. R., de Melker, H. E., ... & Wallinga, J. (2020). The impact of physical distancing measures against COVID-19 transmission on contacts and mixing patterns in the Netherlands: repeated cross-sectional surveys in 2016/2017, April 2020 and June 2020. Medrxiv, 2020-05.
Branke, J., Corrente, S., Greco, S., Słowiński, R., & Zielniewicz, P. (2016). Using Choquet integral as preference model in interactive evolutionary multiobjective optimization. European Journal of Operational Research, 250(3), 884-901.
DEROUICHE, A. (2019). Exploring Teachers’ and Students’ Attitudes towards the Role of Classroom Debate in Enhancing Learners’ Critical Thinking.
Dudeney, A. W. L., Chan, B. K. C., Bouzalakos, S., & Huisman, J. L. (2013). Management of waste and wastewater from mineral industry processes, especially leaching of sulphide resources: state of the art. International Journal of Mining, Reclamation and Environment, 27(1), 2-37.
Gee, D. G., Gabard-Durnam, L. J., Flannery, J., Goff, B., Humphreys, K. L., Telzer, E. H., ... & Tottenham, N. (2013). Early developmental emergence of human amygdala–prefrontal connectivity after maternal deprivation. Proceedings of the National Academy of Sciences, 110(39), 15638-15643.
Hall, R., Atkins, L., & Fraser, J. (2014). Defining a self-evaluation digital literacy framework for secondary educators: the DigiLit Leicester project. Research in Learning Technology, 22.
Heift, T., & Schulze, M. (2007). Errors and intelligence in computer-assisted language learning: Parsers and pedagogues. Routledge.
Hutchison, A., Nadolny, L., & Estapa, A. (2016). Using coding apps to support literacy instruction and develop coding literacy. The Reading Teacher, 69(5), 493-503.
Jie, L., & Xiaoqing, Q. (2006). Language learning styles and learning strategies of tertiary-level English learners in China. RELC journal, 37(1), 67-90.
Johnsen, S. K., & Sheffield, L. J. (2021). Using the common core state standards for mathematics with gifted and advanced learners. Routledge.
Johnson, M., & Wintgens, A. (2015). Viewing selective mutism as a phobia of talking: The importance of accurate conceptualisation for effective clinical and parental management. Making parenting work for children’s mental health, 31, 61-71.
Kanbul, S., & Uzunboylu, H. (2017). Importance of Coding Education and Robotic Applications for Achieving 21st-Century Skills in North Cyprus. International Journal of Emerging Technologies in Learning, 12(1).
Kim, S., Kwak, M., Cardozo-Gaibisso, L., Buxton, C., & Cohen, A. S. (2017). Statistical and qualitative analyses of students’ answers to a constructed response test of science inquiry knowledge. Journal of Writing Analytics, 1.
Knobel, M., & Lankshear, C. (2014). Studying new literacies. Journal of adolescent & adult literacy, 58(2), 97-101.
Learning, T. (2017). What are learning skills. Retrieved March, 21.
Morrison, F. A. (2013). Data correlation for drag coefficient for sphere. Department of Chemical Engineering, Michigan Technological University, Houghton, MI, 49931.
Nguyen, H., & Terry, D. R. (2017). English Learning Strategies among EFL Learners: A Narrative Approach. IAFOR Journal of Language Learning, 3(1), 4-19.
Ohakamike-Obeka, N. (2016). The school learning environment and students’ attitude and achievement in English language. Research on Humanities and social sciences, 6(2), 31-37.
Orsini, F., Kahane, R., Nono-Womdim, R., & Gianquinto, G. (2013). Urban agriculture in the developing world: a review. Agronomy for sustainable development, 33(4), 695-720.
Papadakis, S., Kalogiannakis, M., & Zaranis, N. (2016). Developing fundamental programming concepts and computational thinking with ScratchJr in preschool education: a case study. International Journal of Mobile Learning and Organisation, 10(3), 187-202.
Papert, S. (1993). The children's machine: Rethinking school in the age of the computer. Basic Books, Inc..
Proctor, C. P., Silverman, R. D., Harring, J. R., Jones, R. L., & Hartranft, A. M. (2020). Teaching bilingual learners: Effects of a language‐based reading intervention on academic language and reading comprehension in grades 4 and 5. Reading Research Quarterly, 55(1), 95-122.
Saunders, W. M., Foorman, B. R., & Carlson, C. D. (2006). Is a separate block of time for oral English language development in programs for English learners needed?. The Elementary School Journal, 107(2), 181-198.
Sinurat, M., Heikal, M., Simanjuntak, A., Siahaan, R., & Ilham, R. N. (2021). Product Quality On Consumer Purchase Interest With Customer Satisfaction As A Variable Intervening In Black Online Store High Click Market: Case Study on Customers of the Tebing Tinggi Black Market Online Store. Morfai Journal, 1(1), 13-21.
Skinner, B. F. (2016). The technology of teaching. BF Skinner Foundation.
Vladimirou, D., & House, J. (2018). Ludic impoliteness and globalisation on Twitter:‘I speak England very best’# agglika_Tsipra,# Tsipras# Clinton. Journal of Pragmatics, 134, 149-162.
Wong, G. K., Cheung, H. Y., Ching, E. C., & Huen, J. M. (2015, December). School perceptions of coding education in K-12: A large scale quantitative study to inform innovative practices. In 2015 IEEE international conference on teaching, Assessment, and learning for engineering (TALE) (pp. 5-10). IEEE.
Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information & Management, 53(7), 904-914.
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