TY - GEN
T1 - Defining the Indicator System for AWE for Portuguese Classes in Chinese Higher Education
AU - Jiang, Li
AU - Sun, Yuqi
AU - Hoi, Lap Man
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Analytic Hierarchy Process
KW - Automated Writing Evaluation
KW - Delphi Method
KW - Evaluation Indicators
KW - Portuguese Writing
UR - http://www.scopus.com/inward/record.url?scp=85215095001&partnerID=8YFLogxK
U2 - 10.1109/CyberC62439.2024.00043
DO - 10.1109/CyberC62439.2024.00043
M3 - Conference contribution
AN - SCOPUS:85215095001
T3 - Proceedings - 2024 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discover, CyberC 2024
SP - 206
EP - 211
BT - Proceedings - 2024 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discover, CyberC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discover, CyberC 2024
Y2 - 24 October 2024 through 26 October 2024
ER -