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Direct linkWaheed, Mehwish; Leišyte, Liudvika – Interactive Learning Environments, 2023
This study aims to examine the difference in students' satisfaction with the Quality Characteristics (QualChar) of the Digital Learning Systems (DLs) with regards to gender and frequency of interaction between students-students and students-teachers. A cross-sectional online quantitative survey was used to collect data from English language…
Descriptors: Foreign Countries, Graduate Students, Electronic Learning, Learning Management Systems
Noroozi, Omid; Hatami, Javad; Bayat, Arash; van Ginkel, Stan; Biemans, Harm J. A.; Mulder, Martin – Interactive Learning Environments, 2020
Whilst the importance of online peer feedback and writing argumentative essays for students in higher education is unquestionable, there is a need for further research into whether and the extent to which female and male students differ with regard to their argumentative feedback, essay writing, and content learning in online settings. The current…
Descriptors: Persuasive Discourse, Essays, Peer Evaluation, Feedback (Response)
Du, Jianxia; Wang, Chuang; Zhou, Mingming; Xu, Jianzhong; Fan, Xitao; Lei, Saosan – Interactive Learning Environments, 2018
The present investigation examines the multidimensional relationships among several critical components in online collaborative learning, including group trust, communication media, and interactivity. Four hundred eleven university students from 103 groups in the United States responded survey items on online collaboration, interactivity,…
Descriptors: College Students, Cooperative Learning, Trust (Psychology), Electronic Learning
Chen, Chih-Ming; Wang, Jung-Ying; Chen, Yong-Ting; Wu, Jhih-Hao – Interactive Learning Environments, 2016
To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In…
Descriptors: Reading Strategies, Prediction, Models, Quasiexperimental Design
von Neuforn, Daniela Stokar – Interactive Learning Environments, 2007
To support and continue the motivation of participants in virtual learning environments it is important to achieve a successful learning atmosphere. Therefore, it is necessary to reach the participants on a personal level and to perceive their personal needs and emotions when conversing with them. These factors of learning motivation depend on the…
Descriptors: Interpersonal Communication, Nonverbal Communication, Computer Mediated Communication, Learning Motivation
