Artificial Intelligence Applications in English Language Teaching: A Short Survey

Authors

  • Maad M. Mijwil Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq https://orcid.org/0000-0002-2884-2504
  • Safaa H. Abdulrhman Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq
  • Rana A. Abttan Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq
  • Alaa Khaleel Faieq Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq
  • Anmar Alkhazraji Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq

DOI:

https://doi.org/10.24203/ajas.v10i6.7111

Keywords:

Artificial Intelligence, English Language, Teaching, Machine Learning

Abstract

Artificial intelligence is one of the most popular and influential sciences in many fields. It works continuously to contemporise computer systems to operate with high efficiency and to think like what a human think. In addition, this science seeks to make the work of the machine simulate the work of the human brain in thinking and making decisions, according to the environment in which they live. Therefore, it has become necessary to have artificial intelligence applications in all areas, including education, especially the English language teaching electronically. In this regard, the most influential applications and programs that contribute to the development of teaching English electronically and their effectiveness in developing e-learning will be reviewed. This article concluded that there are applications of artificial intelligence in teaching English electronically, which are of great importance and a great future in the development of language teaching.

Author Biography

Maad M. Mijwil, Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq

Maad M. Mijwil received B.Sc. degree in Software Engineering from Software Engineering Department at Baghdad College of Economics Sciences University, Iraq in 2008/2009 and M.Sc. degree in Wireless sensor network of computer science from University of Baghdad, Iraq in 2015. Currently he is working Assistant Lecturer at Baghdad College of Economics Sciences University.

References

Aggarwal, K., Mijwil, M. M., Sonia, Al-Mistarehi, AH., Alomari, S., Gök M., Alaabdin, A. M., and Abdulrhman, S. H., “Has the Future Started? The Current Growth of Artificial Intelligence, Machine Learning, and Deep Learning,” Iraqi Journal for Computer Science and Mathematics, vol.3, no.1, pp:115-123, January 2022. https://doi.org/10.52866/ijcsm.2022.01.01.013

Valle-Cruz D., Criado J. I., Sandoval-Almazán R., and Ruvalcaba-Gomez E. A., “Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation,” Government Information Quarterly, vol.37, no.4, pp:101509, October 2020. https://doi.org/10.1016/j.giq.2020.101509

Rammo F. M. and Al-Hamdani M. N., “Detecting The Speaker Language Using CNN Deep Learning Algorithm,” Iraqi Journal For Computer Science and Mathematics, vol.3, no.1, pp:43-52, January 2022. https://doi.org/10.52866/ijcsm.2022.01.01.005

Ahmed S., Abbood Z. A., Farhan H. M., Yasen B. T., Ahmed M. R., and Duru A. D., “Speaker Identification Model Based on Deep Neural Networks,” Iraqi Journal For Computer Science and Mathematics, vol. 3, no. 1, pp:108–114, January 2022. https://doi.org/10.52866/ijcsm.2022.01.01.012

Trunk A., Birkel H., and Hartmann E., “On the current state of combining human and artificial intelligence for strategic organizational decision making,” Business Research, vol. 13, pp: 875–919, November 2020. https://doi.org/10.1007/s40685-020-00133-x

Nemati H. R., Steiger D. M., Iyer L. S., and Herschel R. T., “Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing,” Decision Support Systems, vol.33, no.2, vol.143-161, June 2002. https://doi.org/10.1016/S0167-9236(01)00141-5

Mijwil M. M., Mutar D. S., Filali Y., Aggarwal K., and Al-Shahwani H., “Comparison Between Expert Systems, Machine Learning, and Big Data: An Overview,” Asian Journal of Applied Sciences, vol.10, no.1, pp:83-88, March 2022. https://doi.org/10.24203/ajas.v10i1.6930

Mijwil M. M., Salem I. E, and Abttan R. A. “Utilisation of Machine Learning Techniques in Testing and Training of Different Medical Datasets,” Asian Journal of Computer and Information Systems, vol.9, no.5, pp:29-34, November 2021. https://doi.org/10.24203/ajcis.v9i4.6765

Ali A. H., Abdullah M. Z., Abdul-wahab S. N., and Alsajri M., “A Brief Review of Big Data Analytics Based on Machine Learning,” Iraqi Journal For Computer Science and Mathematics, vol. 1, no. 2, pp: 13–15, July 2020. https://doi.org/10.52866/ijcsm.2020.01.01.002

Masood M., Nawaz M., Malik K. M., Javed A., Irtaza A., and Malik H., “Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward,” Applied Intelligence, pp:1-53, June 2022. https://doi.org/10.1007/s10489-022-03766-z

Mijwil M. M., Abttan R. A., and Alkhazraji A., “Artificial intelligence for COVID-19: A Short Article,” Asian Journal of Pharmacy, Nursing and Medical Sciences, vol.10, no.1, pp:1-6, May 2022. https://doi.org/10.24203/ajpnms.v10i1.6961

Mijwil M. M., Aggarwal K., Doshi R., Hiran K. K., Sundaravadivazhagan B. “Deep Learning Techniques for COVID-19 Detection Based on Chest X-ray and CT-scan Images: A Short Review and Future Perspective,” Asian Journal of Applied Sciences, vol.10, no.3, pp:224-231, July 2022. https://doi.org/10.24203/ajas.v10i3.6998

Mijwil M. M. and Al-Zubaidi, E. A., “Medical Image Classification for Coronavirus Disease (COVID-19) Using Convolutional Neural Networks,” Iraqi Journal of Science, vol.62, no.8, pp: 2740-2747, August 2021. https://doi.org/10.24996/ijs.2021.62.8.27.

Gutiérrez R., “Machine Learning in Simple Words,” LinkedIn, June 2019, https://www.linkedin.com/pulse/machine-learning-simple-words-ricardo-guti%C3%A9rrez/

Miranda L., Viterbo J., and Bernardini F., “A survey on the use of machine learning methods in context-aware middlewares for human activity recognition,” Artificial Intelligence Review, vol. 55, pp:3369–3400, October 2021. https://doi.org/10.1007/s10462-021-10094-0

Mijwil M. M., and Abttan R. A., “Artificial Intelligence: A Survey on Evolution and Future Trends,” Asian Journal of Applied Sciences, vol.9, no.2, pp:87-93, April 2021. https://doi.org/10.24203/ajas.v9i2.6589

Murad N. M., Rejeb L., and Said L. B., “The Use of DCNN for Road Path Detection and Segmentation,” Iraqi Journal For Computer Science and Mathematics, vol. 3, no. 2, pp. 119–127, June 2022. https://doi.org/10.52866/ijcsm.2022.02.01.013

Abd S. N., Alsajri M., and Ibraheem H. R., “Rao-SVM Machine Learning Algorithm for Intrusion Detection System,” Iraqi Journal For Computer Science and Mathematics, vol. 1, no. 1, pp. 23–27, January 2020. https://doi.org/10.52866/ijcsm.2019.01.01.004

Mijwil, M. M., Aggarwal K., Mutar D. S., Mansour N., and Singh R. S. S., “The Position of Artificial Intelligence in the Future of Education: An Overview,” Asian Journal of Applied Sciences, vol.10, no.2, pp:102-108, May 2022. https://doi.org/10.24203/ajas.v10i2.6956

Mijwil M. M., Aggarwal K., Doshi R., Hiran K. K., and Gök M., “The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison,” Asian Journal of Applied Sciences, vol.10, no.5, pp:429-437, November 2022. https://doi.org/10.24203/ajas.v10i5.7064

Duan Y., Edwards J. S., and Dwivedi Y. K., “Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda,” International Journal of Information Management, vol.48, pp:63-71, October 2019. https://doi.org/10.1016/j.ijinfomgt.2019.01.021

Rahimzadeh M. and Attar A., “A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2,” Informatics in Medicine Unlocked, vol.19, pp:1-9, May 2020. https://doi.org/10.1016/j.imu.2020.100360

Alwan A. H. and Kashmar A. H., “FCNN Model for Diagnosis and Analysis of Symmetric Key Cryptosystem,” Iraqi Journal For Computer Science and Mathematics, vol. 4, no. 1, pp: 53–61, November 2022. https://doi.org/10.52866/ijcsm.2023.01.01.006

Tubaro P. and Casilli A. A., “Micro-work, artificial intelligence and the automotive industry,” Journal of Industrial and Business Economics, vol. 46, pp: 333–345, June 2019. https://doi.org/10.1007/s40812-019-00121-1

Loukas G., Vuong T., Heartfield R., Sakellari G., Yoon Y., et al., “Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning,” IEEE Access, vol.6, pp:3491-3508, December 2017. https://doi.org/10.1109/ACCESS.2017.2782159

Mijwil M. M., “Implementation of Machine Learning Techniques for the Classification of Lung X-Ray Images Used to Detect COVID-19 in Humans,” Iraqi Journal of Science, vol.62, no.6., pp: 2099-2109, July 2021. https://doi.org/10.24996/ijs.2021.62.6.35.

Duran-Lopez L., Dominguez-Morales J. P., Corral-Jaime J., Vicente-Diaz S., and Linares-Barranco A., “COVID-XNet: A Custom Deep Learning System to Diagnose and Locate COVID-19 in Chest X-ray Images,” Applied Sciences, vol.10, no.16, pp:1-12, August 2020. https://doi.org/10.3390/app10165683

Sestino A., Peluso A. M., Amatulli C., and Guido G., “Let me drive you! The effect of change seeking and behavioral control in the Artificial Intelligence-based self-driving cars,” Technology in Society, vol.70, pp:102017, August 2022. https://doi.org/10.1016/j.techsoc.2022.102017

Samadhan Engineering, Artificial Intelligence Applications, https://www.thesamadhan.com/services/artificial-intelligence-applications

Peng H., Li J., He Y., Liu Y., Bao M., et al.,” Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN,” In Proceedings of the 2018 World Wide Web Conference, April 2018 pp:1063– 1072, , Lyon, France. https://doi.org/10.1145/3178876.3186005

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Published

2023-01-02

How to Cite

Mijwil, M. M., Abdulrhman, S. H. ., Abttan, R. A. ., Faieq, A. K. . ., & Alkhazraji, A. . (2023). Artificial Intelligence Applications in English Language Teaching: A Short Survey. Asian Journal of Applied Sciences, 10(6). https://doi.org/10.24203/ajas.v10i6.7111

Issue

Vol. 10 No. 6 (2022): December 2022

Section

Articles

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Copyright (c) 2023 Maad M. Mijwil, Safaa H. Abdulrhman, Rana A. Abttan, Alaa Khaleel Faieq, Anmar Alkhazraji

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