Imbalance in Teacher Readiness Between Technological Self-Efficacy and Ethical Awareness in the Era of AI Humanification
DOI:
https://doi.org/10.30605/jsgp.9.1.2026.8337Keywords:
AI Humanification, Academic Integrity, Authentic Assessment, EFL, Teacher ReadinessAbstract
The development of Generative Artificial Intelligence (GenAI) has transformed assessment practices in English as a Foreign Language (EFL) learning, particularly through the emergence of AI humanification, where the boundaries between authentic student writing and AI-generated text become increasingly blurred. This study aims to analyze secondary school English teachers’ readiness in addressing these challenges. This research employed a sequential explanatory mixed-method design involving 23 EFL teachers from nine senior high schools in Buleleng Regency, selected through purposive sampling. Data were collected using a modified Readiness Artificial Intelligence Scale (RAIS) questionnaire and semi-structured interviews. Quantitative data were analyzed using descriptive statistics, while qualitative data were analyzed using thematic analysis. The findings reveal a structural imbalance in teacher readiness. While teachers demonstrate high levels of technological self-efficacy in using AI, their ability to detect AI misuse and verify student authenticity remains limited. Teachers adopt adaptive strategies such as restricting device use, implementing oral verification, and repositioning AI as a supportive tool rather than a substitute. These findings imply that teacher readiness is multidimensional and develops unevenly, highlighting the need for assessment redesign, ethical governance, and institutional support to maintain academic integrity in AI-mediated learning environments.
References
Al-Dahoud, A., Fezari, M., Al-Dahoud, A., Aqel, D., Mimi, H., & Daoud, M. Sh. (2024). Revolutionizing Space: The Potential of Artificial Intelligence. Wseas Transactions On Computer Research, 12, 404–414. https://doi.org/10.37394/232018.2024.12.40
Askari, M. (2025). Reclaiming authorship in the age of generative AI: From panic to possibility. AI Magazine, 46(3), 1–5. https://doi.org/10.1002/aaai.70022
Barus, O., Hidayanto, A. N., & Eitiveni, I. (2025). Mapping Generative Ai’s Ethical Issues In Higher Education: A Felt-Guided Systematic Review [Pemetaan Isu Etika Generative Ai Di Pendidikan Tinggi: Tinjauan Sistematis Berpanduan Felt]. Polyglot: Jurnal Ilmiah, 21(2), 159–196. https://doi.org/10.19166/pji.v21i2.10020
Calles, A. B. (2025). Harnessing AI for content and strategies in instructional purposes: Limitations and red flags. Environment and Social Psychology, 10(5), 1–14. https://doi.org/10.59429/esp.v10i5.3235
Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S., Bywaters, D., & Walker, K. (2020). Purposive sampling: complex or simple? Research case examples. Journal of Research in Nursing, 25(8), 652–661. https://doi.org/10.1177/1744987120927206
Chapman, E., Zhao, J., & Sabet, P. G. P. (2024). Generative Artificial Intelligence and Assessment Task Design: Getting Back to Basics through the Lens of the AARDVARC Model. Education Research and Perspectives, 51, 1–36. https://doi.org/10.70953/ERPv51.2412001
Chiu, T. K. F., Ahmad, Z., Ismailov, M., & Sanusi, I. T. (2024). What are artificial intelligence literacy and competency? A comprehensive framework to support them. Computers and Education Open, 6, 1–9. https://doi.org/10.1016/j.caeo.2024.100171
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148
Dragomir, A. (2025). The role of the European Union in shaping an ethical and legal framework for artificial intelligence (AI) in education. SDGs Studies Review, 6(studies), 1–11. https://doi.org/10.37497/sdgs.v6istudies.35
Eaton, S. E. (2025). Global Trends in Education: Artificial Intelligence, Postplagiarism, and Future-focused Learning for 2025 and Beyond – 2024–2025 Werklund Distinguished Research Lecture. International Journal for Educational Integrity, 21(12), 1–27. https://doi.org/10.1007/s40979-025-00187-6
Fleckenstein, J., Meyer, J., Jansen, T., Keller, S. D., Köller, O., & Möller, J. (2024). Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays. Computers and Education: Artificial Intelligence, 6, 1–9. https://doi.org/10.1016/j.caeai.2024.100209
Hill, C., & Hargis, J. (2025). An ethics module on academic integrity and generative AI. New Directions for Teaching and Learning, 2025(182), 41–50. https://doi.org/10.1002/tl.20626
Kemp, S., Goddard, V. C. T., Boursicot, K., Fuller, R., & Nadarajah, V. D. (2023). Supporting validity: steps to contextualise applications for technology and assessment, for learning. MedEdPublish, 13, 37. https://doi.org/10.12688/mep.19688.1
Kim, J. (2025). Perceptions and preparedness of K-12 educators in adopting generative AI. Research in Learning Technology, 33, 1–17. https://doi.org/10.25304/rlt.v33.3448
Kundu, S. (2021). AI-Driven Cognitive and Emotional Interfaces: Real-Time Thought Translation and Emotion-Based Content Creation. Interantional Journal Of Scientific Research In Engineering And Management, 05(04), 1–6. https://doi.org/10.55041/IJSREM6779
López-Meri, A., Doménech-Fabregat, H., & Marcos-García, S. (2024). Digital competencies in verifying fake news: assessing the knowledge and abilities of journalism students. Societies, 14(5), 66. https://doi.org/10.3390/soc14050066
Lynch, D., & Smith, R. (2016). Readiness for school reform. International Journal of Innovation, Creativity and Change, 2(3), 1-12.
Matthews, J., & Volpe, C. R. (2023). Academics' perceptions of ChatGPT-generated written outputs: A practical application of Turing’s Imitation Game. Australasian Journal of Educational Technology, 39(5), 82-100. https://doi.org/10.14742/ajet.8896
Meylani, R. (2024). Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature. Journal of Computer and Education Research, 12(24), 600–637. https://doi.org/10.18009/jcer.1477709
Mishra, Y., Jaiswal, A., & Soni, Dr. G. (2025). Humanizing Text with AI: A Natural Language Processing Approach Using Pre-Trained Language Models. International Journal for Research in Applied Science and Engineering Technology, 13(4), 4953–4958. https://doi.org/10.22214/ijraset.2025.69466
Muhammadi, M., Meizatri, R., Yolanda, E., & Anggria, V. D. (2026). Implementasi Evaluasi Pembelajaran Berbasis Digital di Sekolah Dasar. Jurnal Literasi Digital, 6(1), 72–84. https://doi.org/10.54065/jld.6.1.2026.1133
Nabila, P., Albar, M. H., & Nabila, R. (2025). Penerapan Literasi Digital dalam Penggunaan Artificial Intelligence untuk Kebutuhan Akademik: Literasi Digital. Jurnal Literasi Digital, 5(3), 242–253. https://doi.org/10.54065/jld.5.3.2025.834
Özkan, E. K., Erdemir, N., & Coşkun, D. (2024). A Systematic Review of EFL Teachers’ Perspectives on Artificial Intelligence Technologies. Ihlara Eğitim Araştırmaları Dergisi, 9(2), 150–168. https://doi.org/10.47479/ihead.1535035
Panmei, B., & Shimray, Y. P. (2025). GenAI as a Toolkit for English Academic Writing among International Business Students. Teaching English as a Second or Foreign Language--TESL-EJ, 29(2), 1–35. https://doi.org/10.55593/ej.29114int
Pérez-Pérez, I., González-Afonso, M. C., Plasencia-Carballo, Z., & Pérez-Jorge, D. (2026). Transparency Mechanisms for Generative AI Use in Higher Education Assessment: A Systematic Scoping Review (2022–2026). Computers, 15(2), 1–16. https://doi.org/10.3390/computers15020111
Peters, M., & Angelov, D. (2025). Redefining assessment tasks to promote students’ creativity and integrity in the age of generative artificial intelligence. International Journal for Educational Integrity, 21(25), 1–19. https://doi.org/10.1007/s40979-025-00201-x
Prakoso, A. F., RoziqiFath, Z. F. M., Ginanjar, A. E., Wulandari, W., Kamalia, P. U., & Irawan, N. (2025). Technology Readiness: What Are The Catalysts? Jurnal Eduscience, 12(4), 1042–1058. https://doi.org/10.36987/jes.v12i4.7016
Ramazanoglu, M., & Akın, T. (2025). AI readiness scale for teachers: Development and validation. Education and Information Technologies, 30(6), 6869–6897. https://doi.org/10.1007/s10639-024-13087-y
Shardey, E., Nabi, F., & Vortia, W. (2025). Teacher Readiness for AI and Digital Tools in K-12 Classrooms: A Review of Professional Development Trends and Gaps. International Journal For Multidisciplinary Research, 7(5), 1–17. https://doi.org/10.36948/ijfmr.2025.v07i05.55119
Shi, L. (2025). Assessing teachers’ generative artificial intelligence competencies: instrument development and validation. Education and Information Technologies, 30(16), 23365–23384. https://doi.org/10.1007/s10639-025-13684-5
Somabut, A., Tuamsuk, K., Lowatcharin, G., Traiyarach, S., & Kwangmuang, P. (2025). Preparing for the AI era: Science teachers’ readiness and professional development needs for generative AI integration in secondary education. Social Sciences & Humanities Open, 12, 1–14. https://doi.org/10.1016/j.ssaho.2025.102259
Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning & Teaching, 6(1), 31–40. https://doi.org/10.37074/jalt.2023.6.1.17
Susanti, S., & Nurhikmah, N. (2022). Improving Students’ Reading Ability Through Retelling Technique. Jurnal Dieksis ID, 2(2), 100–106. https://doi.org/10.54065/dieksis.2.2.2022.196
Waltzer, T., Pilegard, C., & Heyman, G. D. (2024). Can you spot the bot? Identifying AI-generated writing in college essays. International Journal for Educational Integrity, 20(11), 1–18. https://doi.org/10.1007/s40979-024-00158-3
Wolff, B., Mahoney, F., Lohiniva, A. L., & Corkum, M. (2019). Collecting and analyzing qualitative data. The CDC Field Epidemiology Manual; Oxford University Press: Oxford, UK; New York, NY, USA, 213-228. . https://doi.org/10.1093/oso/9780190933692.003.0010
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