Defining the Indicator System for AWE for Portuguese Classes in Chinese Higher Education

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Automatic writing evaluation systems can provide language learners with instant feedback and suggestions on written texts, a useful tool that can benefit their writing abilities and skills. However, the development of such a system for Chinese university students of Portuguese remains an issue to be explored. The present study combines the Delphi method and the Analytic Hierarchy Process to establish an indicator system for the development of an automated writing evaluation system for Portuguese classes in higher education, with the weight of each metric being specified and analyzed. The system consists of five first-level indicators and thirteen second-level indicators. The primary indicators and their respective weights are "Content"(36.5%), "Mechanics"(21.6%), "Language use"(20.1%), "Vocabulary"(16.3%) and "Organization"(5.5%). With regard to the secondary indicators, the main concerns of the evaluators are "Relevance", "Readability"and "Spelling". The system of indicators defined in this research constitutes an important basis on which automated writing evaluation applications and software for texts written in Portuguese can be built, which is suitable for the reality in which the number of Chinese university students studying Portuguese is growing rapidly and they can improve their capabilities in Portuguese writing with the help of such applications and software.

Original languageEnglish
Title of host publicationProceedings - 2024 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discover, CyberC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages206-211
Number of pages6
ISBN (Electronic)9798331506896
DOIs
Publication statusPublished - 2024
Event16th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discover, CyberC 2024 - Guangzhou, China
Duration: 24 Oct 202426 Oct 2024

Publication series

NameProceedings - 2024 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discover, CyberC 2024

Conference

Conference16th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discover, CyberC 2024
Country/TerritoryChina
CityGuangzhou
Period24/10/2426/10/24

Keywords

  • Analytic Hierarchy Process
  • Automated Writing Evaluation
  • Delphi Method
  • Evaluation Indicators
  • Portuguese Writing

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