Welcome to the InfoSci Platform
Reference Hub1
Assessing Foreign Language Narrative Writing Through Automated Writing Evaluation: A Case for the Web-Based Pigai System

Assessing Foreign Language Narrative Writing Through Automated Writing Evaluation: A Case for the Web-Based Pigai System

Chia-An Lin, Yen-Liang Lin, Pei-Shan Tsai
Copyright: © 2020 |Pages: 20
ISBN13: 9781799830627|ISBN10: 1799830624|ISBN13 Softcover: 9781799830634|EISBN13: 9781799830641
DOI: 10.4018/978-1-7998-3062-7.ch006
Cite Chapter Cite Chapter

MLA

Lin, Chia-An, et al. "Assessing Foreign Language Narrative Writing Through Automated Writing Evaluation: A Case for the Web-Based Pigai System." ICT-Based Assessment, Methods, and Programs in Tertiary Education, edited by Serpil Meri Yilan and Kasim Koruyan, IGI Global, 2020, pp. 100-119. https://doi.org/10.4018/978-1-7998-3062-7.ch006

APA

Lin, C., Lin, Y., & Tsai, P. (2020). Assessing Foreign Language Narrative Writing Through Automated Writing Evaluation: A Case for the Web-Based Pigai System. In S. Meri Yilan & K. Koruyan (Eds.), ICT-Based Assessment, Methods, and Programs in Tertiary Education (pp. 100-119). IGI Global. https://doi.org/10.4018/978-1-7998-3062-7.ch006

Chicago

Lin, Chia-An, Yen-Liang Lin, and Pei-Shan Tsai. "Assessing Foreign Language Narrative Writing Through Automated Writing Evaluation: A Case for the Web-Based Pigai System." In ICT-Based Assessment, Methods, and Programs in Tertiary Education, edited by Serpil Meri Yilan and Kasim Koruyan, 100-119. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-3062-7.ch006

Export Reference

Mendeley
Favorite

Abstract

Automated writing evaluation (AWE) has become increasingly popular in the assessment of writing. The study in this chapter examines the extent to which EFL learners' overall narrative writing performance improves through the AWE feedback system (i.e., Pigai). Eighteen university participants were required to write one paragraph narratives on the web-based Pigai system every week over the course of a month. Findings show a significant improvement in overall scores between the first and last writing task. The analysis of lexical profile further shows a significant improvement in lexical richness, clause density, and paragraph length between the first and last narrative task. The study also reported that the primary error types that occurred in learner narrative writing were lexical, mechanical, and syntactic errors. Results of post-writing interviews also showed a positive attitude towards Pigai. Finally, a positive correlation was observed between automated Pigai scores and human rating scores, supporting the reliability of the AWE system.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.