Narratives of English Teachers Using AI Generative Tools
DOI:
https://doi.org/10.46328/ijonse.5383Keywords:
AI Generative Tools, English Teachers, Challenges, OpportunitiesAbstract
In recent years, the integration of AI generative tools in education has seen a significant surge, transforming traditional teaching and learning paradigms. The present study aimed to uncover the narratives of English Teachers in the use of AI generative tools using qualitative research design, the study explored the narratives of English teachers of SDO Masbate city in the use of AI generative tools along challenges, opportunities and skills, and Interventions. After the analysis of data, results revealed that Dependence on AI and Plagiarism, Technology and Connectivity, Responsibility and Impact & Integrity were the most prevailing challenges of using AI generative tools. While Creativity and Critical Thinking, Efficiency and Productivity, and vocabulary were the opportunities that are present in the use of AI. It was also revealed that skills such as Adaptability & Integration, Efficient Resource Management, and Innovation were enhanced. It was also found out that teachers handle challenges through responsible use, Ethical consideration & regulation and preservation of traditional method. Trainings, Workshops, and Support from DepEd and improvements in the facilities were the interventions proposed. The findings led to the following conclusions, that challenges such as Plagiarism and Dependency on AI worsen in the advent of these Artificial Intelligence tools. Skills such as creativity and critical thinking skills can be enhanced through the use of AI. It also provides opportunities to both learners and teachers. The use of AI generative tools has its pros and cons thus the DepEd should equip the teaching force to maximize its cons.
References
Alasadi, E. A., & Baiz, C. R. (2023). Generative AI in education and research: Opportunities, concerns, and solutions. Journal of Chemical Education, 100(8), 2965–2971.
Alexander, K., Savvidou, C., & Alexander, C. (2023). Who wrote this essay? Detecting AI-generated writing in second language education in higher education. Teaching English with Technology, 23(2), 25–43.
Anctil, D. (2023). Higher education in the era of generative AI. Pédagogie Collégiale, 36(3).
Anson, C. M. (2022). AI-based text generation and the social construction of “fraudulent authorship”: A revisitation. Composition Studies, 50(1), 37–46.
Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability, 15(17), 12983.
Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62.
Barrett, A., & Pack, A. (2023). Not quite eye to AI: Student and teacher perspectives on the use of generative artificial intelligence in the writing process. International Journal of Educational Technology in Higher Education, 20(1), 59.
Cao, L., & Dede, C. (2023). Navigating a world of generative AI: Suggestions for educators. The Next Level Lab at Harvard Graduate School of Education.
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16–24.
Dalalah, D., & Dalalah, O. M. (2023). The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT. The International Journal of Management Education, 21(2), 100822.
Dupps, W. J., Jr. (2023). Artificial intelligence and academic publishing. Journal of Cataract & Refractive Surgery, 49(7), 655–656.
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.
Else, H. (2023). Abstracts written by ChatGPT fool scientists. Nature, 613(7944), 423.
Epstein, Z., Hertzmann, A., Investigators of Human Creativity, Akten, M., Farid, H., Fjeld, J., ... & Smith, A. (2023). Art and the science of generative AI. Science, 380(6650), 1110–1111.
García-Peñalvo, F. J., Llorens Largo, F., & Vidal, J. (2023). The new reality of education in the face of advances in generative artificial intelligence.
Gayed, J. M., Carlon, M. K. J., Oriola, A. M., & Cross, J. S. (2022). Exploring an AI-based writing assistant's impact on English language learners. Computers and Education: Artificial Intelligence, 3, 100055.
Göçen, A., & Asan, R. (2023). Generative artificial intelligence: Risks and benefits for educational institutions.
Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692.
Kelly, S. M. (2023). ChatGPT passes exams from law and business schools. CNN Business.
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). Exploring generative artificial intelligence preparedness among university language instructors: A case study. Computers and Education: Artificial Intelligence, 5, 100156.
Lazar, N., Byrns, J., Crowe, D., McGinty, M., Abraham, A., Guo, M., ... & Wager, M. (2023). Perils and opportunities of ChatGPT: A high school perspective.
Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The International Journal of Management Education, 21(2), 100790.
Martínez, G., Watson, L., Reviriego, P., Hernández, J. A., Juarez, M., & Sarkar, R. (2023, August). Towards understanding the interplay of generative artificial intelligence and the Internet. In International Workshop on Epistemic Uncertainty in Artificial Intelligence (pp. 59–73). Springer Nature Switzerland.
Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and opportunities of generative AI for higher education as explained by ChatGPT. Education Sciences, 13(9), 856.
Murugesan, S., & Cherukuri, A. K. (2023). The rise of generative artificial intelligence and its impact on education: The promises and perils. Computer, 56(5), 116–121.
Open Culture. (2023). Noam Chomsky on ChatGPT. Open Culture.
Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135–153.
Qadir, J. (2023, May). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. In 2023 IEEE Global Engineering Education Conference (EDUCON) (pp. 1–9). IEEE.
Ratten, V., & Jones, P. (2023). Generative artificial intelligence (ChatGPT): Implications for management educators. The International Journal of Management Education, 21(3), 100857.
Riveiro, M., & Thill, S. (2021). “That's (not) the output I expected!” On the role of end-user expectations in creating explanations of AI systems. Artificial Intelligence, 298, 103507.
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1).
Rusmiyanto, R., Huriati, N., Fitriani, N., Tyas, N. K., Rofi’i, A., & Sari, M. N. (2023). The role of artificial intelligence (AI) in developing English language learners' communication skills. Journal on Education, 6(1), 750–757.
Sætra, H. S. (2023). Generative AI: Here to stay, but for good? Technology in Society, 75, 102372.
Southgate, E. (n.d.). Deep fakes, authenticity and authentication in the age of artificial intelligence. New Basics, 41.
Van Slyke, C., Johnson, R. D., & Sarabadani, J. (2023). Generative artificial intelligence in information systems education: Challenges, consequences, and responses. Communications of the Association for Information Systems, 53(1), 14.
Zhai, X. (2022). ChatGPT user experience: Implications for education. SSRN. https://doi.org/10.2139/ssrn.4312418
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