Examining the Acceptance of Artificial Intelligence in Writing Publications Among Senior High School Teachers in Singkawang
DOI:
https://doi.org/10.35568/abdimas.v7i1.4188Keywords:
Artificial Intelligence, Technology Acceptance Model (TAM),, Writing, teachersAbstract
This study explored the acceptance of Artificial Intelligence (AI) in writing publications among senior high school teachers in Singkawang, adopting the Technology Acceptance Model (TAM) as a framework. The research aimed to comprehend teachers' attitudes toward AI integration in their writing practices. AI, including tools such as Google Translate, Grammarly, QuillBot, ChatGPT, and Elicit, offers multifaceted benefits, enhancing writing productivity, providing real-time feedback, and assisting in language translation. The study involved 30 teachers, utilizing the final version of TAM to assess Perceived Usefulness, Perceived Ease of Use, Attitude toward Usage, and Behavioral Intention to Use. Results revealed a moderate level of acceptance, with 83.3% falling into the medium category. Descriptive statistics underscore positive perceptions, indicating that teachers recognize AI's potential benefits, yet qualitative insights are needed to explore barriers and variations in acceptance levels. Despite concerns of over-reliance and potential biases, AI tools significantly contribute to writing efficiency, accessibility, and democratization of information. The study recommends future research to investigate specific AI tool impacts and individual experiences for a more comprehensive understanding of AI acceptance dynamics among Singkawang teachers.
Downloads
References
Alharbi, S., & Drew, S. (2014). Using the technology acceptance model in understanding academics’ behavioural intention to use learning management systems. International Journal of Advanced Computer Science and Applications, 5(1), 143–155. https://doi.org/10.14569/ijacsa.2014.050120
Alharbi, W. (2023). AI in the foreign language classroom: A pedagogical overview of automated writing assistance tools. Education Research International, 2023, 1–15. https://doi.org/10.1155/2023/4253331
Andrews, R., Torgerson, C., Beverton, S., Freeman, A., Locke, T., Low, G., Robinson, A., & Zhu, D. (2006). The effect of grammar teaching on writing development. British Educational Research Journal, 32(1), 39–55. https://doi.org/10.1080/01411920500401997
Azwar, S. (2012). Penyusunan skala Psikologi. Pustaka Pelajar.
Baki, R., Birgoren, B., & Aktepe, A. (2018). A meta analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems. Turkish Online Journal of Distance Education, 4–42. https://doi.org/10.17718/tojde.471649
Biermann, O. C., Ma, N. F., & Yoon, D. (2022). From tool to companion: Storywriters want AI writers to respect their personal values and writing strategies. Designing Interactive Systems Conference, 1209–1227. https://doi.org/10.1145/3532106.3533506
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Chen, X., Xie, H., & Hwang, G.-J. (2020). A multi-perspective study on Artificial Intelligence in education: Grants, conferences, journals, software tools, institutions, and researchers. Computers and Education: Artificial Intelligence, 1, 100005. https://doi.org/10.1016/j.caeai.2020.100005
Colchester, K., Hagras, H., Alghazzawi, D., & Aldabbagh, G. (2017). A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms. Journal of Artificial Intelligence and Soft Computing Research, 7(1), 47–64. https://doi.org/10.1515/jaiscr-2017-0004
Crawford, J., Cowling, M., Ashton-Hay, S., Kelder, J. A., Middleton, R., & Wilson, G. S. (2023). Artificial Intelligence and authorship editor policy: ChatGPT, Bard Bing AI, and beyond. Journal of University Teaching and Learning Practice, 20(5). https://doi.org/10.53761/1.20.5.01
Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human Computer Studies, 45(1), 19–45. https://doi.org/10.1006/ijhc.1996.0040
Dergaa, I., Chamari, K., Zmijewski, P., & Ben Saad, H. (2023). From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing. Biology of Sport, 40(2), 615–622. https://doi.org/10.5114/biolsport.2023.125623
DuBose, J. & Marshall, D. (2023). AI in academic writing: Tool or invader. Public Services Quarterly, 19(2), 125–130. https://doi.org/https://doi.org/10.1080/15228959.2023.2185338
Goar, V., Yadav, N. S., & Yadav, P. S. (2023). Conversational AI for natural language processing: An review of ChatGPT. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3s), 109–117. https://doi.org/10.17762/ijritcc.v11i3s.6161
Groves, M., & Mundt, K. (2015). Friend or foe? Google Translate in language for academic purposes. English for Specific Purposes, 37, 112–121. https://doi.org/10.1016/j.esp.2014.09.001
Harry, A. (2023). Role of AI in education. Interdiciplinary Journal and Hummanity (INJURITY), 2(3), 260–268. https://doi.org/10.58631/injurity.v2i3.52
Herlina, N., Dewanti, R., & Lustiyantie, N. (2019). Google Translate as an alternative tool for assisting students in doing translation : A case study at Universitas Negeri Jakarta, Indonesia. BAHTERA : Jurnal Pendidikan Bahasa Dan Sastra, 18(1), 70–78. https://doi.org/10.21009/BAHTERA.181.06
İmre, O. (2023). Artificial Intelligence and article writing. European Journal of Therapeutics, 0–1. https://doi.org/10.58600/eurjther1706
Ippolito, D., Yuan, A., Coenen, A., & Burnam, S. (2022). Creative writing with an AI-powered writing assistant: Perspectives from professional writers. 1–18.
Kim, N. J., & Kim, M. K. (2022a). Teacher’s perceptions of using an artificial intelligence-based educational tool for scientific writing. Frontiers in Education, 7(March), 1–13. https://doi.org/10.3389/feduc.2022.755914
Kim, N. J., & Kim, M. K. (2022b). Teacher’s perceptions of using an artificial intelligence-based educational tool for scientific writing. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.755914
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755. https://doi.org/10.1016/j.im.2006.05.003
Lameras, P., & Arnab, S. (2021). Power to the teachers: An exploratory review on artificial intelligence in education. Information, 13(1), 14. https://doi.org/10.3390/info13010014
Mailizar, M., Almanthari, A., & Maulina, S. (2021). Examining teachers’ behavioral intention to use e-learning in teaching of mathematics: An extended TAM Model. Contemporary Educational Technology, 13(2), ep298. https://doi.org/10.30935/cedtech/9709
Malatji, W. R., van Eck, R., & Zuva, T. (2020). Understanding the usage, modifications, limitations and criticisms of technology acceptance model (TAM). Advances in Science, Technology and Engineering Systems, 5(6), 113–117. https://doi.org/10.25046/aj050612
Panigrahi, A., & Joshi, V. (2020). Use of artificial intelligence in education. The Management Accountant Journal, 55(5), 64. https://doi.org/10.33516/maj.v55i5.64-67p
Pereira, C. A., Komarlu, T., & Mobeirek, W. (2023). The future of AI-assisted writing.
Regan, K., Evmenova, A. S., Sacco, D., Schwartzer, J., Chirinos, D. S., & Hughes, M. D. (2019). Teacher perceptions of integrating technology in writing. Technology, Pedagogy and Education, 28(1), 1–19. https://doi.org/10.1080/1475939X.2018.1561507
Sudaryono. (2017). Metode penelitian kuantitatif, kuaitatif, dan mix method (2nd ed.). PT RajaGrafindo Persada.
Sugiyono. (2019). Metode penelitian kuantitatif. ALFABETA.
Tecuci, G. (2012). Artificial intelligence. WIREs Computational Statistics, 4(2), 168–180. https://doi.org/10.1002/wics.200
Thuan, P. D. (2022). Employment of Google Tools in English Language Education: A Review. British Journal of Multidisciplinary and Advanced Studies, 3(2), 70–77. https://doi.org/10.37745/bjmas.2022.0073
Tripathi, S. (2021). Artificial Intelligence (pp. 1–16). https://doi.org/10.4018/978-1-7998-3499-1.ch001
Tseng, W., & Warschauer, M. (2023). AI-writing tools in education: If you can’t beat them, join them. Journal of China Computer-Assisted Language Learning, 3(2), 258–262. https://doi.org/10.1515/jccall-2023-0008
Yusriadi, Y., Rusnaedi, R., Siregar, N. A., Megawati, S., & Sakkir, G. (2023). Implementation of artificial intelligence in Indonesia. International Journal of Data and Network Science, 7(1), 283–294. https://doi.org/10.5267/j.ijdns.2022.10.005
Zhang, Z., Gao, J., Dhaliwal, R. S., & Li, T. J.-J. (2023). VISAR: A human-ai argumentative writing assistant with visual programming and rapid draft prototyping. Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 1–30. https://doi.org/10.1145/3586183.3606800