@inproceedings{2bed41a01db74345880227cf77723587,
title = "Exploring self-regulated learning behaviors in a negotiated online reading assessment",
abstract = "This study designed a negotiated online reading assessment in order to facilitate students' self-monitoring and self-reflection on reading abilities. After taking a reading assessment, students are allowed to negotiate with the system, so that they may further understand their abilities and likely take actions to improve the abilities. This study also conducted a preliminary evaluation to explore the online behaviors of students with different self-regulated learning abilities. For this purpose, a lag sequential analysis approach was applied to identify significant transitions between actions in the negotiation process. The preliminary results showed that low self-regulated learners tended to directly explain their abilities, while high self-regulated learners tended to query the system before explanation. Besides, high self-regulated learners also tended to take the assessment again.",
keywords = "Negotiated learner models, Self-regulated learning, Sequential analysis",
author = "Cheng, {Hercy N.H.} and Liansheng Jia and Xiaotong Zhang and Liao, {Calvin C.Y.} and Jianwen Sun",
note = "Publisher Copyright: {\textcopyright} 2018 Asia-Pacific Society for Computers in Education.; 26th International Conference on Computers in Education, ICCE 2018 ; Conference date: 26-11-2018 Through 30-11-2018",
year = "2018",
month = nov,
day = "24",
language = "???core.languages.en_GB???",
series = "ICCE 2018 - 26th International Conference on Computers in Education, Work-in-Progress Poster Proceedings",
publisher = "Asia-Pacific Society for Computers in Education",
pages = "13--15",
editor = "Rodrigo, {Ma. Mercedes T.} and Sagaya Amalathas and Coronel, {Andrei D.} and Yang, {Jie Chi} and Yanjie Song and Jihong Ding and Maiga Chang and Lung-Hsiang Wong",
booktitle = "ICCE 2018 - 26th International Conference on Computers in Education, Work-in-Progress Poster Proceedings",
}