Revolutionizing Academic English Writing through AI-Powered Pedagogy: Practical Exploration of Teaching Process and Assessment

Journal: Journal of Higher Education Research DOI: 10.32629/jher.v4i2.1188

Yifan Dong

School of Foreign Languages, Dalian Maritime University, Dalian, China

Abstract

Artificial intelligence (AI) is revolutionizing various fields, including education. This study aims to explore the practical implementation of AI-powered pedagogy in the teaching of academic English writing. Specifically, the study examines the impact of an AI-powered writing tool on the teaching process and assessment in an English as a Foreign Language (EFL) classroom setting. A pre-test/post-test experimental design was employed to measure the effectiveness of the tool on students' writing skills. Results showed that the AI-powered writing tool positively impacted students' writing proficiency, as evidenced by significant improvements in writing scores from the pre-test to the post-test. In addition, the tool was found to enhance the teaching process by providing timely and individualized feedback, promoting student engagement, and increasing efficiency in grading. The findings highlight the potential of AI-powered pedagogy in transforming traditional English writing teaching and offer practical implications for teachers, students, and educational technology developers.

Keywords

academic English writing, AI-powered pedagogy, teaching process, assessment

Funding

The Teaching and Research Grant (Grant No. 0039012211) by Dalian Maritime University

References

[1]Attali, Y., & Burstein, J. (2006). Automated essay scoring with e-rater® v. 2. Journal of Technology, Learning, and Assessment, 4(3), 1-30.
[2]Balyan, R., Arora, S., Kumar, A., & Patel, M. (2021). Automated Essay Scoring System: A Comprehensive Review. IEEE Access, 9, 26131-26148.
[3]Brinkman, R., Petraglia, J., Martin, N., Kessler, G., & Shah, N. (2020). An AI Writing Instructor for Introductory Writing Courses. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (pp. 303-312). ACM.
[4]Cahyono, B. Y., & Kurniawan, D. A. (2020). Evaluating the effectiveness of an AI-powered assessment tool for writing. Journal of English Language Teaching and Linguistics, 5(2), 217-232.
[5]Coniam, D., & Falvey, P. (2018). From traditional classroom assessment to online testing: Challenges and opportunities. In Language learning with technology (pp. 237-255). Bloomsbury Publishing.
[6]Gao, X., Chen, Y., Zhang, Y., & Liu, Y. (2021). To What Extent Can AI Writing Feedback Improve EFL Undergraduates’ Writing Performance? A Study on an AI Writing Feedback System. Journal of Educational Computing Research, 59(6), 1496-1518.
[7]Gere, A. R., & Simon, R. I. (2015). Writing assessment in the 21st century: Essays in honor of Edward M. White. Peter Lang.
[8]Gillies, D., Rajapakse, T., & Johnson, N. (2020). Improving Academic Writing: Insights from Text Analysis. Journal of University Teaching & Learning Practice, 17(2), 2.
[9]Halverson, E. R. (2016). The automation of teaching and assessment. Journal of Higher Education Policy and Management, 38(6), 655-666.
[10]Hasselgren, B., & Jönsson, A. (2020). NLP and AI techniques for assessing and supporting student writing. In Handbook of Natural Language Processing (pp. 759-779). Springer.
[11]Klein, E., O'Connor, B., & Cosmides, L. (2019). Bias in, bias out: Assessing the presence of racial and gender bias in a natural language processing platform. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) (pp. 5799-5804).
[12]Liu, X., Xu, J., Xu, Y., & Liu, B. (2020). An Intelligent Writing Assistant for Argumentation Skills Development. IEEE Transactions on Learning Technologies, 13(4), 573-586.
[13]Liu, Y., Huang, D., Zhang, X., & Chen, W. (2018). An AI-Based Writing Tutor to Improve Writing Skills of College Students. Journal of Educational Technology Development and Exchange, 11(1), 1-14.
[14]Lu, X. (2010). Automatic scoring of short handwritten essays in reading comprehension tests. Computers & Education, 55(2), 822-834.
[15]Mubarak, A. A., Ahmed, M. M., & Aldosari, M. S. (2020). Automatic essay grading: A review on state-of-the-art. Journal of King Saud University-Computer and Information Sciences, 32(12), 1486-1495.
[16]Park, H. W., & Lee, J. S. (2020). Exploring the Effects of an AI Writing Tutor on ESL/EFL Student Writing Performance. Journal of Educational Technology & Society, 23(3), 73-84.
[17]Rijt, J. V., Thompson, A., Coates, H., Cavanagh, M., & Butler, L. (2020). Evaluating an AI-powered feedback system to improve student writing. Assessment & Evaluation in Higher Education, 45(8), 1172-1185.
[18]Rose-Wiles, L., & Durham, R. (2020). Teaching with AI: Exploring the potential of chatbots in writing pedagogy. Computers and Composition, 57, 102-116.
[19]Vrusias, B., Johnston-Wilder, P., & Pfeiffer, V. (2019). Can a chatbot promote and sustain the development of writing skills in school students? A quasi-experimental study. Computers and Education, 133, 58-75.
[20]Xiong, Z., Ma, Y., Wu, Y., & Liu, J. (2020). Automatic essay grading using machine learning. International Journal of Emerging Technologies in Learning (iJET), 15(17), 63-78.
[21]Yigal, A., & Vaknin, Y. (2019). Benefits and challenges of incorporating automatic writing evaluation in ESL writing instruction. Journal of Language and Education, 5(4), 23-33.
[22]Zhou, H., Xu, L., Zhou, Q., & Zhang, L. (2020). The Role of Artificial Intelligence in Improving Writing Quality of English as a Foreign Language Learners. Journal of Educational Computing Research, 57(2), 522-545.

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