@inproceedings{e7a758309b6f4b26b07d11b09a205628,
title = "How to Measure the Collaborative Problem-solving Competency Based on Conversational Agent",
abstract = "Nowadays, collaborative problem-solving competency has become one of the essential core skills for talents in the 21st century. Limited by the complex and variable factors of collaborative problem-solving activities, the current assessment method was difficult to understand the real situation of students' collaborative activities and problem-solving. Based on the PISA2015 collaborative problem-solving competency assessment framework, this study build an assessment model and integrated the computer conversational agent technology to develop the prototype of the collaborative problem-solving competency evaluation system. We found the performance level of individual and teams' collaborative problem-solving patterns. It provides a reference for the evaluation of collaborative problem-solving competency, and also provides a new direction for human-computer interaction based on conversational agents.",
keywords = "Assessment Research, Collaborative Problem-solving, Conversational Agent",
author = "Ge Wang and Bian Wu and Yiling Hu",
note = "Publisher Copyright: {\textcopyright} 2019 International Conference on Computers in Education, Proceedings.All right reserved.; 27th International Conference on Computers in Education, ICCE 2019 ; Conference date: 02-12-2019 Through 06-12-2019",
year = "2019",
month = nov,
day = "19",
language = "英语",
series = "ICCE 2019 - 27th International Conference on Computers in Education, Proceedings",
publisher = "Asia-Pacific Society for Computers in Education",
pages = "146--151",
editor = "Maiga Chang and Hyo-Jeong So and Lung-Hsiang Wong and Fu-Yun Yu and Ju-Ling Shih and Ivica Boticki and Ming-Puu Chen and Ali Dewan and Stian Haklev and Elizabeth Koh and Tomoko Kojiri and Kuo-Chen Li and Daner Sun and Yun Wen",
booktitle = "ICCE 2019 - 27th International Conference on Computers in Education, Proceedings",
address = "中国台湾",
}