Intertextuality in Pre-service Teachers’ Argumentative Essay in Raising AI: Practices and Beliefs

Authors

DOI:

https://doi.org/10.18326/register.v16i2.186-206

Keywords:

Academic Essays, Artificial Intelligence, EFL Pre-service Teachers, Intertextuality

Abstract

English as Foreign Language (EFL) pre-service teachers arguably face more challenges regarding rhetorical moves in argumentative essays, and one of them is intertextuality because EFL pre-service teachers' arguments require sufficient and high-quality support and evidence from other scholars. Intertextuality was mainly studied, grounding in texts without external tools, for instance, Artificial Intelligence (AI). In raising the AI era, the objective of this study is to investigate Indonesian EFL pre-service teachers' intertextuality in argumentative essays assisted by AI. Ten EFL pre-service teachers who attended sixteen courses in Academic Writing with neither teaching nor writing experience were recruited as participants. We employed a case study design to portray the nature of the phenomena, and the data were collected through documents (academic essays) to portray the practices, and interviews to represent teachers' beliefs on explicit and implicit intertextuality beyond their argumentative essays in facing AI. We employed content analysis from academic essays and interviews. The findings shows that that 1) EFL pre-service teachers mostly used reporting phrases and iconic references, but it was oriented to local references that targeted local audiences, so international references should be more practiced; and 2) EFL pre-service teachers' beliefs that assisted AI while writing argumentative essay was limited to writing accuracy, but it helped them to focus on intertextuality. Although they were enough to give sufficient intertextuality references in practice, they could not present their voices to tailor their arguments. Moreover, the intertextuality praxis and policy implications will be discussed in EFL pre-service teachers' argumentative essays assisted by AI.

References

Badenhorst, C. M. (2017). Literature reviews, citations and intertextuality in graduate student writing. Journal of Further and Higher Education, 43(2), 263-275. https://doi.org/10.1080/0309877X.2017.1359504

Barzilai, S., Tal-Savir, D., Abed, F., Mor-Hagani, S., & Zohar, A. R. (2021). Mapping multiple documents: From constructing multiple document models to argumentative writing. Reading and Writing, 1-39. https://doi.org/10.1007/s11145-021-10208-8

Bazerman, C. (2004). Intertextuality: How texts rely on other texts. In C. Bazerman and P. Prior (Eds.), What Writing Does and How It Does It: An Introduction to Analysing Texts and Textual Practices (pp. 83–96). Lawrence Erlbaum Associates.

Bengtsson, M. (2016). How to plan and perform a qualitative study using content analysis. NursingPlus open, 2, 8-14.

Bremner, S., & Costley, T. (2018). Bringing reality to the classroom: Exercises in intertextuality. English for Specific Purposes, 52, 1-12. https://doi.org/10.1016/j.esp.2018.05.001

Castello, M., Corcelles, M., Inesta, A., Banales, G., & Vega, N. (2011). Authorial voice in academic writing: A methodological proposal for its analysis. Revista Signos, 44(76), 105-117.

Chowdhary, K. (2020). Natural language processing. In Fundamentals of artificial intelligence (p. 603-649). Springer.

Cotos, E., Huffman, S., & Link, S. (2020). Understanding graduate writers’ interaction with and impact of the Research Writing Tutor during revision. Journal of Writing Research, 12(1), 187-232. https://doi.org/10.17239/jowr-2020.12.01.07

Ebadi, S., & Rahimi, M. (2018). An exploration into the impact of WebQuest-based classroom on EFL learners’ critical thinking and academic writing skills: a mixed-methods study. Computer Assisted Language Learning, 31(5–6), 617–651. https://doi.org/10.1080/09588221.2018.1449757

Ebadi, S., & Rahimi, M. (2019). Mediating EFL learners’ academic writing skills in online dynamic assessment using Google Docs. Computer Assisted Language Learning, 32(5-6), 527–555. https://doi.org/10.1080/09588221.2018.1527362

Fairclough, N. (1992). Discourse and social change. Polity Press.

Fairclough, N. (2003). Analysing discourse: Textual analysis for social research. Routledge.

Fajaryani, N., Mukminin, A., Hidayat, M., Muhaimin, M., Haryanto, E., Nazurty, N., ... & Harto, K. (2021). Cultural Capital and Argumentative Writing in English: Challenges and Strategies Used by EFL Student Teachers. Qualitative Report, 26(10).

Farrelly, M. (2020). Rethinking intertextuality in CDA. Critical Discourse Studies, 17(4), 359-376.

Groom, N. (2000) Attribution and averral revisited: Three perspectives on manifest intertextuality in academic writing. In P. Thompson (Eds.), Patterns and Perspectives: Insights into EAP Writing Practice (pp. 15–25). Reading: Centre for Applied Language Studies.

Guo, K., Wang, J., & Chu, S. K. W. (2022). Using chatbots to scaffold EFL students’ argumentative writing. Assessing Writing, 54, 100666. https://doi.org/10.1016/j.asw.2022.100666

Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5-14. https://doi.org/10.1177/0008125619864925

Hu, G., & Shen, Y. (2021). Chinese university teachers’ perceptions and practices regarding plagiarism: Knowledge, stance, and intertextual competence. Ethics & Behavior, 31(6), 433-450. https://doi.org/10.1080/10508422.2020.1776616

Jorba, J., I. Gómez, and A. Prat. (2000). Hablar Y Escribir Para Aprender [Speaking and Writing for Learning]. Síntesis.

Knight, S., Shibani, A., Abel, S., Gibson, Ryan, P., Sutton, N., Wight, R., Lucas, S., Sándor, Á., Kitto, K., Liu, M., Vijay Mogarkar, R., & Buckingham-Shum, S.J. (2020). AcaWriter: A learning analytics tool for formative feedback on academic writing. Journal of Writing Research, 12(1), 141-186. https://doi.org/10.17239/jowr-2020.12.01.06

Kristeva, J., & Waller, M. (1996). Intertextuality and literary interpretation. Julia Kristeva Interviews, 188-203.

Latham, G. (2020). Teacher as writer: The process of an out of school collaboration in narrative writing. English in Education, 54(4), 396–406. https://doi.org/10.1080/04250494.2019.1639472

Li, J., & Li, M. (2018). Turnitin and peer review in ESL academic writing classrooms Turnitin and peer review in ESL academic writing classrooms. Language Learning & Technology, 22(1), 27–41. https://dx.doi.org/10125/44576

Liao, H. C. (2016). Using automated writing evaluation to reduce grammar errors in writing. ELT Journal, 70(3), 308–319. https://doi.org/10.1093/elt/ccv058

Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023). ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology, 74(5), 570-581. https://doi.org/10.1002/asi.24750

Meyer, J. G., Urbanowicz, R. J., Martin, P. C., O’Connor, K., Li, R., Peng, P. C., ... & Moore, J. H. (2023). ChatGPT and large language models in academia: opportunities and challenges. BioData Mining, 16(1), 20. https://doi.org/10.1186/s13040-023-00339-9

Olsen, A. W., VanDerHeide, J., Goff, B., & Dunn, M. B. (2018). Examining intertextual connections in written arguments: A study of student writing as social participation and response. Written communication, 35(1), 58-88. https://doi.org/10.1177/0741088317739557

Palermo, C., & Wilson, J. (2020). Implementing Automated Writing Evaluation in Different Instructional Contexts: A Mixed-Methods Study. Journal of Writing Research, 12(1), 63–108. https://doi.org/10.17239/jowr-2020.12.01.04

Rosales, U. L., Álvarez, G. L., Carrillo, S. K., & Pezo, E. P. (2020). Collaborative writing of argumentative essays in an EFL blended course: Chilean pre-service teachers’ perceptions and self-assessment. Íkala, revista de lenguaje y cultura, 25(2), 307-327.

Sezen-Barrie, A., & Kelly, G. J. (2017). From the teacher’s eyes: facilitating teachers noticings on informal formative assessments (IFAs) and exploring the challenges to effective implementation. International Journal of Science Education, 39(2), 181-212. https://doi.org/10.1080/09500693.2016.1274921

Shermis, M. D., & Hamner, B. (2013). Contrasting state-of-the-art automated scoring of essays. In M. D. Shermis, & J. Burstein (Eds.), Handbook of automated essay evaluation: Current applications and new directions (pp. 313–346). Routledge. https://doi.org/10.4324/9780203122761.ch19

Strickland, B. M. (2019). Writing for the (virtual) other: Bakhtinian intertextuality within online L2 writing exchanges. The Language Learning Journal, 47(1), 1-18. https://doi.org/10.1080/09571736.2016.1146915

Swales, J. M. (1990). Create a Research Space (CARS) Model of Research.

Valdivia, Á. I. M., & Martínez, L. M. (2018). Improving preservice teachers’ scientific argumentative writing through epistemic practices: a learning progression approach. Journal of Education for Teaching, 45(2), 169-185.

Vardi, I. (2012). Developing students' referencing skills: a matter of plagiarism, punishment and morality or of learning to write critically?. Higher Education Research & Development, 31(6), 921-930. https://doi.org/10.1080/0309877X.2017.1359504

Vintzileos, A. M., Chavez, M. R., & Romero, R. (2023). A role for artificial intelligence chatbots in the writing of scientific articles. American Journal of Obstetrics & Gynecology.

Yoo, J. (2018). Teachers as creative writers: Needs, desires and opportunities for growth. New Writing, 15(3), 300–310. https://doi.org/10.1080/14790726.2017.1391296

Downloads

Published

2023-11-28

How to Cite

Martono, Nur Arifah Drajati, Dewi Rochsantiningsih, & Surya Agung Wijaya. (2023). Intertextuality in Pre-service Teachers’ Argumentative Essay in Raising AI: Practices and Beliefs. Register Journal, 16(2), 186–206. https://doi.org/10.18326/register.v16i2.186-206