Human vs Machine: A Comparative Effectiveness of A Particular Technique and AI Tools in Improving Writing Skills
Abstract
The research paper titled "Human vs. Machine: A Comparative Effectiveness of A Particular Technique and Artificial Intelligence Tools in Improving Writing Skills." The study investigates the efficacy of a certain method and artificial intelligence tools in improving students' English writing proficiency. The goal of this research is to provide information that will contribute to the development of writing training programs that are both effective and tailored to individual needs. This will ensure a comprehensive approach to language acquisition in the modern age of technology. The study utilized a combination of quantitative and qualitative methodologies to assess the influence of these tools on students' writing abilities. The results emphasize the significance of customized writing instruction that integrates both technological and pedagogical elements in order to improve students' writing skills.
Keywords
Full Text:
PDFReferences
Afzal, N. (2019). A Study on Vocabulary-Learning Problems Encountered by BA English Majors at the University Level of Education. Arab World English Journal, 10(3), 81–98. https://doi.org/10.24093/awej/vol10no3.6
Basar, Z. M., Mansor, A. N., Jamaludin, K. A., & Alias, B. S. (2021). The Effectiveness and Challenges of Online Learning for Secondary School Students - A Case Study. Asian Journal of University Education, 17(3), 119–129. https://doi.org/10.24191/ajue.v17i3.14514
Burkhard, M. (2022). Student Perceptions of Ai-Powered Writing Tools: Towards Individualized Teaching Strategies. Proceedings of the 19th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2022, Celda, 73–81. https://doi.org/10.33965/celda2022_202207l010
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00411-8
Cole, J., & Feng, J. (2015). Chinese American Educational Research and Development Association Annual Conference. Effective Strategies for Improving Writing Skills of Elementary English Language Learners, 4.
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … 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(March). https://doi.org/10.1016/j.ijinfomgt.2023.102642
Grájeda, A., Burgos, J., Córdova, P., & Sanjinés, A. (2023). Assessing student-perceived impact of using artificial intelligence tools: Construction of a synthetic index of application in higher education. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2023.2287917
Han, Y., & Xie, L. (2023). Journal of Innovation. Journal of Innovation & Knowledge, 8(4), 100416. https://doi.org/10.1016/j.jik.2023.100416
Hutson, M. (2023). the Use of Artificial Intelligence-Based Chat-Gpt and Its Challenges for the World of Education; From the Viewpoint of the Development of Creative Writing Skills. Proceeding of International Conference on Education, Society and Humanity, 1(1), 353–357. https://ejournal.unuja.ac.id/index.php/icesh/article/view/5614
Inaugural, T. C., & Statement, J. (2022). The impact of Artificial Intelligence on the future of workforces in the European Union and the United States of America.An economic study prepared in response to the US-EU Trade and Technology Council Inaugural.Joint Statement. 1–55. https://www.whitehouse.gov/wp-content/uploads/2022/12/TTC-EC-CEA-AI-Report-12052022-1.pdf
Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability (Switzerland), 15(16), 1–27. https://doi.org/10.3390/su151612451
Kern, C., Gerdon, F., Bach, R. L., Keusch, F., & Kreuter, F. (2022). Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making. Patterns, 3(10), 100591. https://doi.org/10.1016/j.patter.2022.100591
Korteling, J. E. (Hans., van de Boer-Visschedijk, G. C., Blankendaal, R. A. M., Boonekamp, R. C., & Eikelboom, A. R. (2021). Human- versus Artificial Intelligence. Frontiers in Artificial Intelligence, 4(March), 1–13. https://doi.org/10.3389/frai.2021.622364
Little, C. W., Clark, J. C., Tani, N. E., & Connor, C. M. (2018). Improving writing skills through technology-based instruction: A meta-analysis. Review of Education, 6(2), 183–201. https://doi.org/10.1002/REV3.3114
Lukyanenko, R., Maass, W., & Storey, V. C. (2022). Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities. Electronic Markets, 32(4), 1993–2020. https://doi.org/10.1007/s12525-022-00605-4
Malik, A. R., Pratiwi, Y., Andajani, K., Numertayasa, I. W., Suharti, S., Darwis, A., & Marzuki. (2023). Exploring Artificial Intelligence in Academic Essay: Higher Education Student’s Perspective. International Journal of Educational Research Open, 5(October), 100296. https://doi.org/10.1016/j.ijedro.2023.100296
Marleni, M. (2020). Enhancing the Students’ Writing Skill through Technological Writing Feature of Wridea. Journal of English Education and Teaching, 4(1), 140–153. https://doi.org/10.33369/jeet.4.1.140-153
Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2). https://doi.org/10.1080/2331186X.2023.2236469
Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8). https://doi.org/10.29333/ejmste/13428
Ozmen Garibay, O., Winslow, B., Andolina, S., Antona, M., Bodenschatz, A., Coursaris, C., Falco, G., Fiore, S. M., Garibay, I., Grieman, K., Havens, J. C., Jirotka, M., Kacorri, H., Karwowski, W., Kider, J., Konstan, J., Koon, S., Lopez-Gonzalez, M., Maifeld-Carucci, I., … Xu, W. (2023). Six Human-Centered Artificial Intelligence Grand Challenges. International Journal of Human-Computer Interaction, 39(3), 391–437. https://doi.org/10.1080/10447318.2022.2153320
Pflanzer, M., Traylor, Z., Lyons, J. B., Dubljević, V., & Nam, C. S. (2023). Ethics in human–AI teaming: principles and perspectives. AI and Ethics, 3(3), 917–935. https://doi.org/10.1007/s43681-022-00214-z
Poulou, M. S., Reddy, L. A., & Dudek, C. M. (2019). Relation of teacher self-efficacy and classroom practices: A preliminary investigation. School Psychology International, 40(1), 25–48. https://doi.org/10.1177/0143034318798045
Sandolo, L. (2010). How can the use of technology enhance writing in the classroom ? 1–44.
Woo, D. J., Wang, Y., & Susanto, H. (2022). Student-AI Creative Writing: Pedagogical Strategies for Applying Natural Language Generation in Schools (Issue June). https://doi.org/10.35542/osf.io/h5kc7
Xia, X., & Qi, W. (2022). Temporal tracking and early warning of multi semantic features of learning behavior. Computers and Education: Artificial Intelligence, 3(August 2021), 100045. https://doi.org/10.1016/j.caeai.2021.100045
Zimmerman, B. J. (2010). Self-efficacy and educational development. In Self-Efficacy in Changing Societies (Issue January 1995). https://doi.org/10.1017/cbo9780511527692.009
DOI: http://dx.doi.org/10.31958/jt.v27i1.11833
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Delfia Herwanis, Rahmanita Zakaria, Rusmiati Rusmiati, Sungkawati Sukardi Wahyuningsih
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
TA'DIB with registered number e-ISSN: 2580-2771, p-ISSN: 1410-8208 have been indexed on:
Journal Ta'dib distribute under Lisensi Creative Commons Atribusi-NonKomersial 4.0 Internasional.
Contact us: Ta'dib; Address: FTIK, Universitas Islam Negeri Mahmud Yunus Batusangkar; Jl. Sudirman No. 137 Lima Kaum Batusangkar, Tanah Datar, Sumatera Barat, Indonesia. Email: [email protected]