Supporting ESL Writing by Prompting Crowdsourced Structural Feedback

Authors

  • Yi-Ching Huang National Taiwan University
  • Jiunn-Chia Huang National Taiwan University
  • Hao-Chuan Wang National Tsing Hua University
  • Jane Hsu National Taiwan University

DOI:

https://doi.org/10.1609/hcomp.v5i1.13313

Keywords:

Crowd-powered system, Crowdsourcing, Writing feedback, Feedback, Writing support tool

Abstract

Writing is challenging, especially for non-native speakers. To support English as a Second Language (ESL) writing, we propose StructFeed, which allows native speakers to annotate topic sentence and relevant keywords in texts and generate writing hints based on the principle of paragraph unity. First, we compared our crowd-based method with three naive machine learning (ML) methods and got the best performance on the identification of topic sentence and irrelevant sentence in the article. Next, we evaluated the StructFeed system with two feedback-generation mechanisms including feedback generated by one expert and by one crowd worker. The results showed that people who received feedback by StructFeed got the highest improvement after revision.

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Published

2017-09-21

How to Cite

Huang, Y.-C., Huang, J.-C., Wang, H.-C., & Hsu, J. (2017). Supporting ESL Writing by Prompting Crowdsourced Structural Feedback. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 5(1), 71-78. https://doi.org/10.1609/hcomp.v5i1.13313

Issue

Vol. 5 (2017): Fifth AAAI Conference on Human Computation and Crowdsourcing

Section

Full Papers