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Lijia Lin; Shan Li; Xiaoshan Huang; Fu Chen – Distance Education, 2024
The purpose of the study was to examine (a) students' social annotation behaviors and engagement change in an undergraduate course throughout the semester, and (b) which social annotation behaviors impact active engagement time. A total of 91 university students' social annotation behaviors, as well as their active engagement time in readings,…
Descriptors: Computer Mediated Communication, Documentation, Undergraduate Students, Student Behavior
Pei, Li – ProQuest LLC, 2018
The purpose of this study was to examine the impact of virtual literature circles (VLCs) on Chinese university English as a foreign language (EFL) students' independent English reading. The importance of independent reading for EFL students to develop critical thinking, language proficiency, and good readership was extensively discussed and…
Descriptors: Foreign Students, College Students, English (Second Language), Second Language Learning
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Kanevsky, Lannie; Xin, Cindy; Ram, Ilana – Collected Essays on Learning and Teaching, 2016
In this paper, we describe and investigate small group discussions of assigned readings in an online version of a "triple-entry activity" in a blended course used an annotation tool, "Marginalia". We wondered if students would interact in this structured, critical, reflective reading activity as effectively online as they had…
Descriptors: Computer Mediated Communication, Online Courses, Blended Learning, Student Attitudes
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Hwang, Wu-Yuin; Hsu, Guo-Liang – Turkish Online Journal of Educational Technology - TOJET, 2011
This study is aimed at investigating students' annotation behaviors and their effects on learning achievement with pre-reading (reading before class) exercises and Web-based sharing mechanisms. An 8-week quasi-experiment was conducted with 125 sixth-grade elementary school students. The study shows the following results. First, a significant…
Descriptors: Foreign Countries, Elementary School Students, Computer Assisted Instruction, Prior Learning