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Liu, Qingtang; Zhang, Si; Wang, Qiyun; Chen, Wenli – IEEE Transactions on Learning Technologies, 2018
Teachers' online discussion text data shed light on their reflective thinking. With the growing scale of text data, the traditional way of manual coding, however, has been challenged. In order to process the large-scale unstructured text data, it is necessary to integrate the inductive content analysis method and educational data mining…
Descriptors: Information Retrieval, Data Collection, Data Analysis, Discourse Analysis
Xianwei, Gao; Samuel, Moses; Asmawi, Adelina – Malaysian Online Journal of Educational Technology, 2016
The purpose of this study was to explore critical thinking skills in peer feedback for Business English writing in order to facilitate the quality of peer feedback and quality of Business English writing. "Critical peer feedback" was conceptualized with the integration of "critical thinking" and "peer feedback" in…
Descriptors: Foreign Countries, Undergraduate Students, Models, Critical Thinking
Zhang, Xi; Vogel, Douglas R.; Zhou, Zhongyun – Behaviour & Information Technology, 2012
Knowledge sharing visibility (KSV) is a critical environmental factor which can reduce social loafing in knowledge sharing (KS). This is especially true in ICT [information and communication technology]-based KS in learning organisations. As such, it is imperative that we better understand how to design technology enabled knowledge management…
Descriptors: Foreign Countries, Information Technology, Web 2.0 Technologies, Computer Mediated Communication
Bohemia, Erik; Ghassan, Aysar – American Journal of Distance Education, 2012
This article explores project-based cross-cultural and cross-institutional learning. Using Web 2.0 technologies, this project involved more than 240 students and eighteen academic staff from seven international universities. The focus of this article relates to a project-based learning activity named "The Gift". At each institution the…
Descriptors: Foreign Countries, Student Projects, Distance Education, Active Learning
Zang, Wei; Lin, Fuzong – International Journal of Distance Education Technologies, 2006
Student behavior analysis is an active research topic in distance education in recent years. In this article, we propose a new method called Boosting to investigate students' behaviors. The Boosting Algorithm can be treated as a data mining method, trying to infer from a large amount of training data the essential factors and their relations that…
Descriptors: Student Behavior, Distance Education, Data Collection, Data Analysis