Does it really help? Exploring the impact of Al-Generated writing assistant on the students’ English writing
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Abrams, L., & Davis, D. K. (2016). The tip-of-the-tongue phenomenon: Who, what, and why. In H. H. Wright (Ed.), Cognition, language and aging (pp. 13-53). John Benjamins Publishing Company.
Ary, D., Jacobs, L. C., & Sorensen, C. (2010). Introduction to research in education (8th ed.). Cengage Learning.
Bax, S. (2022). Text Inspector (June 24, 2022 version) [Online application]. https://textinspector.com/
Beers, S. F., & Nagy, W. E. (2009). Syntactic complexity as a predictor of adolescent writing quality: Which measures? Which genre? Reading and Writing, 22(2), 185-200. https://doi.org/10.1007/s11145-007-9107-5
Campbell, M. (2019). Teaching academic writing in higher education. Education Quarterly Review, 2(3), 608-614. https://doi.org/10.31014/aior.1993.02.03.92
Chen, M. X., Lee, B. N., Bansal, G., Cao, Y., Zhang, S., Lu, J., Tsay, J., Wang, Y., Dai, A. M., Chen, Z., Sohn, T., & Wu, Y. (2019). Gmail smart compose: Real-time assisted writing. In J. Tang & L. Khan (Eds.), Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2287-2295). Association for Computing Machinery. https://doi.org/10.1145/3292500.3330723
Cheung, S. K. S. (2015). A case study on the students’ attitude and acceptance of mobile learning. In K. C. Li, T. L. Wong, S. K. S. Cheung, J. Lam, & K. K. Ng (Eds.), Technology in Education. Transforming Education Practices with Technology. Communications in Computer and Information Science (pp. 45-54). Springer. https://doi.org/10.1007/978-3-662-46158-7_5
Dizon, G., & Gayed, J., M. (2021). Examining the impact of Grammarly on the quality of mobile L2 writing. The JALT CALL Journal, 17(2), 74-92. https://doi.org/10.29140/jaltcall.v17n2.336
Durán, P., Malvern, D., Richards, B., & Chipere, N. (2004). Developmental trends in lexical diversity. Applied Linguistics, 25(2), 220-242. https://doi.org/10.1093/applin/25.2.220
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. https://doi.org/10.11648/j.ajtas.20160501.11
Gallacher, A., Thompson, A., & Howarth, M. (2018). “My robot is an idiot!”–Students’ perceptions of AI in the L2 classroom. In P. Taalas, J. Jalkanen, L. Bradley, & S. Thouësny (Eds.), Future-proof CALL: Language Learning as Exploration and Encounters – Short Papers from EUROCALL 2018 (pp. 70-76). Research-publishing.net. https://doi.org/10.14705/rpnet.2018.26.815
Gayed, 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. https://doi.org/10.1016/j.caeai.2022.100055
Hamouma, C., & Menezla, N. (2019). The impact of digital literacy proficiency on EFL students’ academic writing performance: A case study of Algerian third year EFL students. International Journal of Digital Literacy and Digital Competence (IJDLDC), 10(4), 40-55. http://doi.org/10.4018/IJDLDC.2019100103
Hanauer, D. I., Sheridan, C. L., & Englander, K. (2019). Linguistic injustice in the writing of research articles in English as a second language: Data from Taiwanese and Mexican Researchers. Written Communication, 36(1), 136-154. https://doi.org/10.1177/0741088318804821
Hwang, G. J., Xie, H., Wah, B. W., & Gasevic, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers & Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001
Ippolito, D., Yuan, A., Coenen, A., & Burnam, S. (2022). Creative writing with an AI-powered writing assistant: Perspectives from professional writers. Human-Computer Interaction. https://doi.org/10.48550/arXiv.2211.05030
Iskender, A. (2023). Holy or unholy? Interview with OpenAI’s ChatGPT. European Journal of Tourism Research, 34, 3414. https://doi.org/10.54055/ejtr.v34i.3169
Johinke, R., Cummings, R., & DiLaurao, F. (2023). Reclaiming the technology of higher education for teaching digital writing in a post-pandemic world. Journal of University Teaching & Learning Practice, 20(2), Article 01. https://doi.org/10.53761/1.20.02.01
Kellogg, R. T. (2008). Training writing skills: A cognitive developmental perspective. Journal of Writing Research, 1(1), 1-26. https://doi.org/10.17239/jowr-2008.01.01.1
Koltovskaia, S. (2020). Student engagement with Automated Written Corrective Feedback (AWCF) provided by Grammarly: A multiple case study. Assessing Writing, 44, 100450. https://doi.org/10.1016/j.asw.2020.100450
Liu, S., & Kunnan, A. J. (2016). Investigating the application of automated writing evaluation to Chinese undergraduate English major: A case study of WriteToLearn. Calico Journal, 33(1), 71-91. https://doi.org/10.1558/cj.v33i1.26380
McCarthy, P. M., & Jarvis, S. (2010). MTLD, vocd-D, and HD-D: A validation study of sophisticated approaches to lexical diversity assessment. Behavior Research Methods, 42, 381-392. https://doi.org/10.3758/BRM.42.2.381
McCrocklin, S. (2019). Learners’ feedback regarding ASR-based dictation practice for pronunciation learning. Calico Journal, 36(2), 119-137. https://doi.org/10.1558/cj.34738
McCurry, D. (2010). Can machine scoring deal with broad and open writing tests as well as human readers? Assessing Writing, 15(2), 118-129. https://doi.org/10.1016/j.asw.2010.04.002
McGee, T., & Ericsson, P. (2002). The politics of the program: MS Word as the invisible grammarian. Computers and Composition, 19(4), 453-470. https://doi.org/10.1016/S8755-4615(02)00142-1
Mohsen, M. A., & Alshahrani, A. (2019). The effectiveness of using a hybrid mode of automated writing evaluation system on EFL students’ writing. Teaching English with Technology, 19(1), 118-131.
Moore, K. A., Rutherford, C., & Crawford, K. A. (2016). Supporting postsecondary English language learners’ writing proficiency using technological tools. Journal of International Students, 6(4), 857-872. https://doi.org/10.32674/jis.v6i4.321
Nazari, N., Shabbir, M. S., & Setiawan, R. (2021). Application of artificial intelligence powered digital writing assistant in higher education: Randomized controlled trial. Heliyon, 7(5), e07014. https://doi.org/10.1016/j.heliyon.2021.e07014
Nobles, S., & Paganucci, L. (2015). Do digital writing tools deliver? Student perceptions of writing quality using digital tools and online writing environments. Computers and Composition, 38, 16-31. http://dx.doi.org/10.1016/j.compcom.2015.09.001
Patel, N. (2021, June 14). Using natural language processing for educational activities [Status update]. LinkedIn. https://www.linkedin.com/pulse/using-natural-language-processing-educational-activities-nirmal-patel/
Patterson, N. G. (2007). The devil in the machine: Problems with computerized writing assessment. Language Arts Journal of Michigan, 23(1), Article 14. https://doi.org/10.9707/2168-149X.1143
Pedro, L. F. M. G., de Oliveira Barbosa, C. M. M., & das Neves Santos, C. M. (2018). A critical review of mobile learning integration in formal educational contexts. International Journal of Educational Technology in Higher Education, 15, Article 10. http://dx.doi.org/10.1186/s41239-018-0091-4
Perry, F. (2021). The use of embedded digital tools to develop English language proficiency in higher education. Journal of Academic Language and Learning, 15(1), 1-12.
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12, Article 22. https://doi.org/10.1186/s41039-017-0062-8
Powers, D. E., Burstein, J. C., Chodorow, M. S., Fowles, M. E., & Kukich, K. (2002). Comparing the validity of automated and human scoring of essays. Journal of Educational Computing Research, 26(4), 407-425. https://doi.org/10.2190/CX92-7WKV-N7WC-JL0A
Purcell, K., Buchanan, J., & Friedrich, L. (2013, July 16). The impact of digital tools on student writing and how writing is taught in schools [Report]. Pew Research Center. https://www.pewresearch.org/internet/2013/07/16/the-impact-of-digital-tools-on-student-writing-and-how-writing-is-taught-in-schools/
Purnama, Y. (2022). The importance of machine translation to university students. International Journal of Social Science and Human Research, 05(08), 3492-3494. https://doi.org/10.47191/ijsshr/v5-i8-19
Qian, L., Yang, Y., & Zhao, Y. (2021). Syntactic complexity revisited: Sensitivity of China’s AES-generated scores to syntactic measures, effects of discourse-mode and topic. Reading and Writing, 34, 681-704. https://doi.org/10.1007/s11145-020-10087-5
Rahimi, M., & Zhang, L. J. (2018). Writing task complexity, students’ motivational beliefs, anxiety and their writing production in English as a second language. Reading and Writing, 32(3), 761-78. https://link.springer.com/article/10.1007/s11145-018-9887-9
Scott, P., & Mouza, C. (2007). The impact of professional development on teacher learning, practice and leadership skills: A study on the integration of technology in the teaching of writing. Journal of Educational Computing Research, 37(3), 229-266. http://dx.doi.org/10.2190/EC.37.3.b
Shermis, M. D., Burstein, J., Higgins, D., & Zechner, K. (2010). Automated essay scoring: Writing assessment and instruction. In P. Peterson, E. Baker, & B. McGaw (Eds.), International encyclopedia of education (3rd ed., pp. 20-26). http://dx.doi.org/10.1016/B978-0-08-044894-7.00233-5
Silva, T. (1993). Toward an understanding of the distinct nature of L2 writing: The ESL research and its implications. TESOL Quarterly, 27(4), 657-677. https://doi.org/10.2307/3587400
Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2021). Students’ perceptions of the use of AI in a writing class. Advances in Social Science, Education and Humanities Research, 624, 52-57. https://doi.org/10.2991/assehr.k.220201.009
Terblanche, N., Molyn, J., Williams, K., & Maritz, J. (2022). Performance matters: Students’ perceptions of artificial intelligence coach adoption factors. Coaching: An International Journal of Theory, Research and Practice, 16(1), 100-114. http://dx.doi.org/10.1080/17521882.2022.2094278
Tsiriotakis, I. K., Vassilaki, E., Spantidakis, I., & Stavrou, N. A. M. (2017). The examination of the effect of writing strategy-based procedural facilitative environments on students’ English language writing anxiety levels. Frontiers in Psychology, 7, 2074. https://doi.org/10.3389/fpsyg.2016.02074
Wang, F., & Wang, S. (2012). A comparative study on the influence of automated evaluation system and teacher grading on students’ English writing. Procedia Engineering, 29, 993-997. https://doi.org/10.1016/j.proeng.2012.01.077
Wingate, U. (2010). The impact of formative feedback on the development of academic writing. Assessment & Evaluation in Higher Education, 35(5), 519-533. http://dx.doi.org/10.1080/02602930903512909
Wolfersberger, M. (2003). L1 to L2 writing process and strategy transfer: A look at lower proficiency writers. TESL-EJ, 7(2).
Woo, M., Chu, S., Ho, A., & Xuanxi, L. (2011). Using a wiki to scaffold primary-school students’ collaborative writing. Journal of Education Technology & Society, 14, 43-54.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–Where are the educators? International Journal of Educational Technology in Higher Education, 16, Article 39. http://dx.doi.org/10.1186/s41239-019-0171-0
Zhao, X. (2022). Leveraging artificial intelligence (AI) technology for English writing: Introducing Wordtune as a digital writing assistant for EFL writers. RELC Journal, 54(3), 890-894. https://doi.org/10.1177/00336882221094089
DOI: https://doi.org/10.24815/siele.v11i2.35875
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