A Research on the Blended Evaluation Mode in College English Writing Course

Authors

  • Suli Liu Beijing International Studies University

DOI:

https://doi.org/10.17507/jltr.1304.09

Keywords:

blended Evaluation, AWE, reliability, English writing

Abstract

Evaluation plays a significant role in English writing course, which is an effective way to assess and motivate the learners. Traditional instructor’s scoring and feedback is considered helpful, yet straining and not efficient enough. Automated writing evaluation (AWE) is the use of specialized computer programs to grade and evaluate writings in educational settings. The idea of integrating machine feedback with human evaluation is supposed to be comprehensive and efficient. This paper is to investigate the reliability and feasibility of the integration of AWE and human evaluation in college English writing course. An empirical study was conducted in a Beijing foreign languages university, where a blended evaluation mode was applied and the feedback from the students verified that through proper design, the integration of AWE and human scoring was fairly feasible and efficient. The findings of this paper may provide some reference and enlightenment for the evaluation mode in college English writing course.

References

Attali, Y., & Burstein, J. (2006). Automated Essay Scoring With e-rater® V.2. The Journal of Technology, Learning and Assessment, 4(3), 3-29.

Bai, L. & Wang, J. (2019). Review of automatic feedback in English composition in recent 20 years. Foreign Languages Research (01), 65-71 + 88.

Chen, L. & Guo, M. (2019). The validity research of AES-assisted teacher's assessment in the era of big data. Journal of Huainan Normal College (01), 80-84.

Gong, W., Zhou, J. & Hu X. (2019). The effects of Automated Writing Evaluation provided by Pigai website on language complexity of non-English majors. Foreign Language Learning Theory and Practice (04), 45-54.

He, Z. & Gong, Y. (2017). Case Study of Application of iWrite English Writing Evaluation System 2.0. Journal of Chengdu Aeronautic Polytechnic (03), 29-32.

Hou, J., & Chen, Z. (2019). A Longitudinal Study on the Development Process of Chinese Engineering Students’ English Writing Capacity. Foreign Languages in China, 16(03), 63-72.

Huang, J. & He, H. (2018). The impact of the integrated human and AWE feedback on students' writing performance. Technology Enhanced Foreign Languages (01), 19-24.

Lee, Young-Ju. (2020). The Long-Term Effect of Automated Writing Evaluation Feedback on Writing Development. English Teaching 75(1), 67-92.

Li, G. (2019). Study on the influence of the multiple feedback on English composition revision. Foreign Language Education (04), 72-76.

Liu, Y., & Liu, J. (2018). Effects of online automated writing evaluation system on EFLlearners’ writing revision—An empirical study based on iWrite. Foreign Language Education in China (Quarterly), (2), 67-74.

Li, X. & Zhong, L. (2017). Empirical study on automated essay scoring (AES)in college English writing teaching—Based on the pigai system. Research in Teaching (01), 57-61.

Qian, L., Zhao, Y., & Cheng, Y. (2020). Evaluating China’s Automated Essay Scoring System iWrite. Journal of Educational Computing Research, 58(4), 771-790.

Song, Zongwei. (2019). Investigating Chinese EFL College Students’ Writing Through the Web-Automatic Writing Evaluation Program. English Language and Literature Studies, 9(3). 20-28.

Stevenson, M. (2016). A critical interpretative synthesis: the integration of automated writing evaluation into classroom writing instruction. Computers & Composition, 42, 1-16.

Wang, B., Jing, T. & Zhao W. (2015). Automatic writing evaluation research and practice for fifty years— from single, cooperative to interactive. Foreign Languages Research, 32 (05), 50-56.

Wang, Yusheng. (2019). A Study of Applying Automated Assessment in Teaching College English Writing Based on Juku Correction Network. iJET, 14(11), 19-31.

Wan, J. (2020). The application of iWrite2.0 to the blended evaluation of graduate English writing teaching. Modern communication (06), 29-30.

Wilson, J., & Roscoe, R. D. (2020). Automated Writing Evaluation and Feedback: Multiple Metrics of Efficacy. Journal of Educational Computing Research, 58(1), 87–125.

Wu, Y. & Zhang, W. (2016). Impact of automated writing evaluation system and teacher feedback on students’ writing revision. Foreign Language Education in China (01), 12-19 + 91.

Zhou, F. (2019). Research on College English Writing Teaching Mode under the Automatic Writing Evaluation System. Think Tank Times (27), 185-186.

Downloads

Published

2022-07-01

Issue

Section

Articles