The Technology-Enhanced Teaching Reading of English in Junior High School Level: Teachers’ Perspectives
Abstract
Junior high school reading instruction has been used extensively to help meet the objectives of the national curriculum. Teachers and students are encouraged to conduct more advanced technological classrooms by the use of digital technology that has evolved into artificial intelligence. The purpose of this case study was to determine the state of reading instruction at the junior high school level using digital technologies. This study covers the opportunities and challenges for the teachers and students to deal with digital technology and artificial intelligence in the reading class. The data were gathered through observation and interview with the teachers and the students. The results of this study share that (1) it is challenging for the English teacher to use digital technology in the teaching reading, (2) digital technology offers multimodality that help the student to get better understanding on their reading, (3) the integration of artificial intelligence is discussed to get better formula of its implementation, (4) artificial intelligence may support the teacher’s teaching preparation, and several other challenges are highlighted in details.Â
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Almaktary, H. M. A., & Al-Kadi, A. M. T. (2017). CALL in post-method era. Indonesian Journal of EFL and Linguistics, 2(2), 133–146. https://doi.org/https://doi.org/10.21462/ijefll.v2i2.33
Brown, J. S., Collins, A., & Harris, G. (1978). Artificial Intelligence and learning strategies. Learning Strategies, 107–139. https://doi.org/https://doi.org/10.1016/B978-0-12-526650-5.50010-1
Creswell, J. W. & Poth, C. N. (2018). Qualitative inquiry and research design choosing among five approaches. 4th Edition. SAGE Publications, Inc., Thousand Oaks.
Geng, H. (2021). Redefining the role of teachers in developing critical thinking within the digital era. Proceedings of the 2021 International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2021), 18–21.
Haymon, C., & Wilson, A. (2020). Differentiated reading instruction with technology for advanced middle school students’ reading achievement. Journal of Educational Research & Practice, 10(1). https://doi.org/https://doi.org/10.5590/JERAP.2020.10.1.05
Jiménez, M. M. B., RÃos, I. D. M., Bonilla, A. M. S., & Gámez, M. R. (2023). Teaching strategies against Artificial intelligence in the learning of 21st century students. Journal of Law and Sustainable Development, 11(9), 01–19. https://doi.org/https://doi.org/10.55908/sdgs.v11i9
Kazu, Ä°. Y., & Issaku, Y. (2021). The opinion of ELT students on technology-based classroom approach. Focus on ELT Journal, 3(1).
Kehoe, F. (2023). Leveraging generative AI tools for enhanced lesson planning in initial teacher education at post primary. Irish Journal of Technology Enhanced Learning, 7(2). https://doi.org/DOI: https://doi.org/10.22554/ijtel.v7i2.124
Lee, G. G., Shi, L., Latif, E., Gao, Y., Bewersdorff, A., Nyaaba, M., Guo, S., Wu, Z., Liu, Z., Wang, H., Mai, G., Liu, T., & Zhai, X. (2023). Multimodality of AI for education: Towards artificial general intelligence. Computer and Science, arXiv:2312. https://doi.org/https://doi.org/10.48550/arXiv.2312.06037
Lee, Y. (2024). Interactive intelligence: Multimodal AI for real-time interaction loop towards attentive e-reading. Delft University of Technology.
Liaw, M.-L., & English, K. (2017). Technologies for teaching and learning L2 reading. In The Handbook of Technology and Second Language Teaching and Learning (pp. 62–76). John Wiley & Sons, Inc.
Lim, F. V. (2020). How to teach digital reading? Journal of Information Literacy, 14(2), 24–43. https://doi.org/http://dx.doi.org/10.11645/14.2.2701
Lindner, A., & Romeike, R. (2019). Teachers’ perspectives on Artificial Intelligence. 12th International Conference on Informatics in Schools,“Situation, Evaluation and Perspectivesâ€, ISSEP.
Luo, Y. (2021). Artificial intelligence model for real-time monitoring of ideological and political teaching system. Journal of Intelligent & Fuzzy Systems, 40(2), 3585–3594.
Marjan Laal, M., & Peyman Salamati, M. (2012). Lifelong learning; why do we need it? Procedia - Social and Behavioral Sciences, 31, 399–403. https://doi.org/doi:10.1016/j.sbspro.2011.12.073
Mezmir, E. A. (2020). Qualitative data analysis: An overview of data reduction, Data display and interpretation. Research on Humanities and Social Sciences, 10(21), 15–27.
Miles, M. B., Huberman, A. M., & Saldana, J. (2014). Qualitative data analysis. Sage Publications, Inc.
Nugrahawati, A. W. (2024). Enhancing reading comprehension in higher education: Exploring the role of artificial intelligence in teaching reading. Conference on English Language Teaching (CELTI), 9–19. https://doi.org/https://doi.org/10.24090/celti.2024.1003
Patrik, K., Патрік, К., Ilona, H., & Ілона, Г. (2024). Artificial intelligence (AI) as a useful assistant in English lesson planning. Видавничий Дім «Гельветика», 72, 67–70.
Purba, L. S. L. (2020). The effectiveness of the quizizz interactive quiz media as an online learning evaluation of physics chemistry 1 to improve student learning outcomes. Journal of Physics: Conference Series 6th International Conference on Mathematics, Science, and Education (ICMSE 2019), 1567. https://doi.org/10.1088/1742-6596/1567/2/022039
Rahman, M. H. A., & Nor, H. (2024). The unveiling the role of artificial intelligence on reading processes. Primacy: Journal of English Education and Literacy, 3(1), 18–27. https://doi.org/https://doi.org/10.33592/primacy.v3i1.4877
Rivas, C. (2012). Coding and analysing qualitative data. Researching Society and Culture, 3(2012), 367–392.
Rusandi, M. A., Ahman, Saripah, I., Khairun, D. Y., & Mutmainnah. (2023). No worries with ChatGPT: building bridges between artificial intelligence and education with critical thinking soft skills. Journal of Public Health, 45(3), e602–e603.
Teo, P. (2019). Teaching for the 21st century: A case for dialogic pedagogy. Learning, Culture and Social Interaction, 21(June), 170–178. https://doi.org/https://doi.org/10.1016/j.lcsi.2019.03.009
Yanga, X., Kuoa, L.-J., Jib, X., & Erin McTigue. (2018). A critical examination of the relationship among research, theory, and practice: Technology and reading instruction. Computers & Education, 125, 62–73. https://doi.org/https://doi.org/10.1016/j.compedu.2018.03.009
Zainuddin, Z., Shujahat, M., Haruna, H., & Chu, S. K. W. (2020). The role of gamified e-quizzes on student learning and engagement: An interactive gamification solution for a formative assessment system. Computers & Education, 145(February). https://doi.org/https://doi.org/10.1016/j.compedu.2019.103729
Zeng, Z. (2018). Construction of EFL student teachers’ beliefs about method: Insights from Postmethod. English Language Teaching, 11(1). https://doi.org/doi: 10.5539/elt.v11n1p93
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J.-B., & Jing Yuan, Y. L. (2021). A Review of artificial intelligence (AI) in education from 2010 to 2020. Virtuelle, 2021(1). https://doi.org/https://doi.org/10.1155/2021/8812542
DOI: https://doi.org/10.26877/allure.v5i1.20785
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