Reimagining Education: Artificial Intelligence and the Transformation of Learning Paradigm

Rahmat Setiawan, Armelia Nungki Nurbani, Felicia Arya Dwi Putri, Retno Ayu Ningsih, Nur Avita Ayu Diyawan

Abstract


This research aims to reveal the educational paradigm shift caused by artificial intelligence. The theoretical frameworks in this study are Artificial Intelligence and English Language Teaching. The research methodology used case study qualitative. The data used in this research consists of statements taken from the Forum Group Discussion. The data source consisted of FGD transcripts by three English teachers from a favorite high school in Surabaya. The data collection technique used focus group discussion. The analytical approach used thematic analysis. From the FGDs conducted, three axes of answers were found. The first is related to the consequences of artificial intelligence in changing the educational paradigm through tasks given to students. There are three things in giving assignments, 1) A shift from assigning tasks based on Lower Order Thinking Skills to Higher Order Thinking Skills. 2) A shift from directive assignments to reasoning or explanation and 3) Giving tasks that are theoretical to practice. Second, the learning process reflects significant changes. There are two main reasons why the learning process can cause significant shifts. 1) The shift from teacher center to student center and 2) The change from learning using traditional methods to using technology. Third, the utilization of artificial intelligence in learning purposes also reflects a very important phenomenon. There are two main reasons in learning. 1) The change from knowledge mastery to the application of knowledge to solve problems and 2) A paradigm shift from simply answering questions to developing critical and creative thinking skills.


Keywords


Artificial Intelligence; Education; Paradigm Shift

References


Allahyarova, T. (2022). Search for a New Paradigm in the Educational` System in the Era of Artificial Intelligence and Digital Technologies: Challenges, Opportunities. Actual Problems in the System of Education: General Secondary Education Institution – Pre-University Training – Higher Education Institution, 1(2), 179–190. https://doi.org/10.18372/2786-5487.1.16597

Aspers, P., & Corte, U. (2019). What is Qualitative in Qualitative Research. Qualitative Sociology, 42(2), 139–160. https://doi.org/10.1007/s11133-019-9413-7

Associates, E. &. (2005). “A focus group discussion (FGD) is a small group of six to ten people led through an open discussion".

Chrisinger, D. (2019). The Solution Lies in Education: Artificial Intelligence & the Skills Gap. On the Horizon, 27(1), 1–4. https://doi.org/https://doi.org/10.1108/OTH-03-2019-096

Creswell, J. W. (2007). Qualitative Inquiry and Research Design: Choosing among Five Approaches, (2nd ed. (ed.)). SAGE Publication.

Eaton, E., Machado, T., Williams, T., Koenig, S., Schulz, C., & Maurelli, F. (2018). Blue Sky Ideas in Artificial Intelligence Education from the Eaai 2017 New and Future AI Educator Program. AI Matters, 3(4), 23–31. https://doi.org/https://doi.org/10.1145/3175502.3175509

Grubaugh, S., & Levitt, G. (2023). Artificial Intelligence and the Paradigm Shift: Reshaping Education to Equip Students for Future Careers. International Journal of Social Sciences and Humanities Invention, 10(06), 7931–7941. https://doi.org/10.18535/ijsshi/v10i06.02

Hidayat, D. N., Fitriah, Mahlil, & Mason, J. (2023). Factors Impacting English Teachers’ Creativity in Teaching English as a Foreign Language in Indonesia. Studies in English Language and Education, 10(1), 155–173. https://doi.org/https://doi.org/10.24815/siele.v10i1.26145

Huang, J., Shen, G., & Ren, X. (2021). Connotation Analysis and Paradigm Shift of Teaching Design under Artificial Intelligence Technology. International Journal of Emerging Technologies in Learning (IJET), 16(05), 73–86.

Hwang, G.-J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, Challenges, Roles and Research Issues of Artificial Intelligence in Education. Computer and Education: Artificial Intelligence, 1, 1–5. https://doi.org/10.1016/j.caeai.2020.100001

Kaledio, P., Robert, A., Frank, L., Kurdoğlu, M., Khaki, A., & Dhar, V. (2024). The Impact of Artificial Intelligence on Students’ Learning Experience. International Journal of Women’s Health and Reproduction Sciences, 12(1), 1–2. https://doi.org/10.15296/ijwhr.2024.6003

Kimondo, C., Wandeto, L., Indimuli, D., & Ercertin, A. (2023). The Impact of A.I on Teaching and Learning. London Journal of Social Sciences, 6, 124–129. https://doi.org/10.31039/ljss.2023.6.111

Lameras, P., & Arnab, S. (2022). Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education. Information (Switzerland), 13(1), 14. https://doi.org/10.3390/info13010014

Miller, T. (2019). Explanation in Artificial Intelligence : Insights from the Social Sciences. Artificial Intelligence, 267, 1–38. https://doi.org/10.1016/j.artint.2018.07.007

Murphy, R. (2019). Artificial Intelligence Applications to Support K-12 Teachers and Teaching: A Review of Promising Applications, Opportunities, and Challenges. Artificial Intelligence Applications to Support K–12 Teachers and Teaching: A Review of Promising Applications, Challenges, and Risks. https://doi.org/10.7249/pe315

Olivia, N. D., & Maria, P. M. A. (2024). The Use of Artificial Intelligence in Education. International Journal of Women’s Health and Reproduction Sciences, 11(1), 1–7. https://doi.org/10.15296/ijwhr.2024.6003

Ouyang, F., & Jiao, P. (2021). Artificial Intelligence in Education: The Three Paradigms. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100020

Parangu, K. A., Wibowo, A. H., Agustina, E., & Rizkiyah, F. (2023). The effectiveness of metacognitive strategies in enhancing students’ reading skills in islamic economics : A cross-sectional study. 11(2), 89–93. https://doi.org/10.25273/etj.v11i2.18000

Pedró, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. United Nations Educational, Scientific and Cultural Organization, 1–48.

Prahani, B. K., Rizki, I. A., Jatmiko, B., Suprapto, N., & Amelia, T. (2022). Artificial Intelligence in Education Research During the Last Ten Years : A Review and Bibliometric Study. International Journal of Emerging Technologies in Learning (IJET), 17(08), 169–188.

Rios-Campos, C., Cánova, E. S. M., Zaquinaula, I. R. A., Zaquinaula, H. E. A., Vargas, D. J. C., Peña, W. S., Idrogo, C. E. T., & Arteaga, R. M. Y. (2023). Artificial Intelligence and Education. South Florida Journal of Development, 4(2), 641–655. https://doi.org/10.46932/sfjdv4n2-001

Sanusi, I. T., Olaleye, S. A., Agbo, F. J., & Chiu, T. K. F. (2022). The Role of Learners’ Competencies in Artificial Intelligence Education. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100098

Topol, E. J. (2019). High-Performance Medicine: The Convergence of Human and Artificial Intelligence. Natural Medicine, 25, 44–56. https://doi.org/https://doi.org/10.1038/s41591-018-0300-7

Wong, G. K. W., Ma, X., Dillenbourg, P., & Huan, J. (2020). Broadening Artificial Intelligence Education in K-12: Where to Start? ACM Inroads. 11(1), 20–29. https://doi.org/https://doi.org/10.1145/ 3381884

Yang, S. J. H. (2021). Precision Education - A New Challenge for AI in Education. Educational Technology and Society, 24(1), 105–108.




DOI: https://doi.org/10.24853/elif.7.1.%25p

Refbacks

  • There are currently no refbacks.


Abstracting/Indexing

     
   
     

 

English Language in Focus (ELIF) is published by

  


This work is licensed under

   

 

Powered by Puskom-UMJ